Introduction To Cricket In The 21st Century History Essay

Introduction To Cricket In The 21st Century History Essay When considering the extensive amount of research that has been directed toward the sporting world from a mathematical, statistical and operational research perspective, the Duckworth/Lewis method (Duckworth and Lewis, 1998, 2004) perhaps stands alone as the most significant contribution to sport. The common practice in dealing with interrupted one-day cricket matches until 1992 was to compare the run rates (the total number of runs scored divided by the number of completed overs) of the competing teams; the team with the higher run rate was declared the winner. However, this rule tended to benefit the team batting second (Team 2) at the expense of the team batting first (Team 1), leading to the common practice of inviting the other team to bat first if rain was expected. The difficulty with run rates is that targets are determined by taking the remaining overs into account, while ignoring the number of lost wickets. As is well known, batsmen tend to bat less aggressively and score fewer runs when more wickets have been taken. The first team does not have the same strategic options as the second team and, in that sense, the rule does not provide both teams with equal opportunities. Realising that this rule is biased towards the side batting second, the Australian Cricket Board introduced its most productive overs rule during the 1992/93 season. This rule calculates the target for Team 2 by taking the n highest scoring overs of Team 1 where n is the number of played overs (for example, 40 if 10 overs are lost due to rain). Ironically, this rule was now considered as tending to favour the side batting first and transparently unfair to the team batting second. To illustrate, Suppose that Team 2 requires 20 off 19 balls to win, when a short shower takes three overs away. The reset target would now be 20 off 1 ball since the three least productive overs are deduced from the original target (which we may believe were three maiden overs in this case). However, this seems to be unfair and even ironic: the second teams excellent bowling (three maiden overs) in the first innings is now turning against them; it would have been better for Team 2 in this case if Team 1 had reached the same total score without any maidens. The Duckworth/Lewis method was utilised and gained prominence during the 1999 World Cup, and since that time, it has been adopted by every major cricketing board and competition. In one-day cricket, the Duckworth/Lewis method is based on the recognition that at the beginning of a match, each side has resources available (typically 50 overs and 10 wickets). When the match is shortened, the resources of one or both teams are reduced and the two teams usually have different resources for their innings. In this case, in an attempt to be fair, a revised target for the team batting second is set. The determination of the target using resources is known as the Duckworth/Lewis method. What makes the adoption of the Duckworth/Lewis method remarkable is that the method is widely perceived by the public as a black box procedure. Generally, people do not understand how the targets are set but they do agree that the targets are sensible or at least preferable to the approach based on run rates. Although the Duckworth/Lewis (D/L) method was designed for one-day cricket, it has also been applied to Twenty20 cricket. Twenty20 is a relatively new version of limited overs cricket with only 20 overs per side. In contrast to the one-day game and first-class cricket (which can take up to five days to complete), Twenty20 matches have completion times that are comparable to other popular team sports. With the introduction of the biennial World Twenty20 tournament in 2007 and the Indian Premier League in 2008, Twenty20 cricket has gained widespread popularity. Although Twenty20 (t20) cricket is similar to one-day cricket, there exist subtle variations in the rules (e.g. fielding restrictions, limits on bowling, etc) between the two versions of cricket. The variations in the rules, and most importantly, the reduction of overs from 50 to 20 suggest that scoring patterns in t20 may differ from the one-day game. In particular, t20 is seen as a more explosive game where the ability to score 4s and 6s is more highly valued than in one-day cricket. Since the D/L method (and its associated resource table) is based on the scoring patterns in one-day cricket, it is therefore reasonable to ask whether the D-L method is appropriate for t20. With the rise of Twenty20, an investigation of the D/L method applied to t20 is timely. Up until this point in time, such an investigation might not have been possible due to the dearth of t20 match results. Now analysts have at their disposal nearly 200 international matches, and through the use of efficient estimation procedures, the question may be at least partially addressed. Also, since t20 matches have a shorter duration, to date, few matches have been interrupted and resumed according to D/L. Consequently, if there is a problem with D/L applied to t20, it may not have yet manifested itself. This was true before the third editon of the World t20 in May 2010 when a controversial outcome occurred in a game between England and the West Indies. The criticism directed at the usage and appropriateness of the method by players, commentators and fans provide sufficient motivation to adjust the table in this project. In Section 2, the construction of the Duckworth/Lewis resource table is reviewed as well as its effective inception relative to past rain rules. Some comments are provided on aspects of the table and the limitations of the method. In Section 3, an alternative Twenty20 resource table is obtained using a non-parametric approach based on Gibbs sampling. The data used in the construction of the new table consist of all international Twenty20 matches to date involving Test-playing nations as recognised by the International Cricket Council (ICC). The project concludes with a short discussion in Section 4. A heat map is provided to facilitate comparisons between the two tables. 2. For their eyes only: Evaluation of the current method and its appropriateness A condensed version of the Duckworth/Lewis resource table (Standard Edition) is shown in Table 1 (taken from the ICC Playing Handbook 2008-09). In an uninterrupted innings of one-day cricket, a team starts batting with maximum resources available, equivalent to 50 overs and zero wickets taken. Reflect now on a one-day match where Team 1 scores 276 runs at the end of its 50 overs, as a simple example of the use of the Duckworth/Lewis resource table. Before Team 2 has a chance to start their chase of Team 1s total, it rains and they only receive 30 overs for their innings. A look at the resource table shows that Team 2 has only 75.1% of their resources in hand and, consequently, their target for winning the match is set at 276(0.751)=208 runs. Contrast the Duckworth/Lewis target with the unreasonably low target of 276(30/50)=166 runs based on run rates. Table 1. Abbreviated version of the Duckworth-Lewis resource table (Standard Edition) Overs available Wickets lost 0 1 2 3 4 5 6 7 8 50 100.0 93.4 85.1 74.9 62.7 49.0 34.9 22.0 11.9 40 89.3 84.2 77.8 69.6 59.5 47.6 34.6 22.0 11.9 30 75.1 71.8 67.3 61.6 54.1 44.7 33.6 21.8 11.9 25 66.5 63.9 60.5 56.0 50.0 42.2 32.6 21.6 11.9 20 56.6 54.8 52.4 49.1 44.6 38.6 30.8 21.2 11.9 10 32.1 31.6 30.8 29.8 28.3 26.1 22.8 17.9 11.4 5 17.2 17.0 16.8 16.5 16.1 15.4 14.3 12.5 9.4 1 3.6 3.6 3.6 3.6 3.6 3.5 3.5 3.4 3.2 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 The table entries indicate the percentage of resources remaining in a match with the specified number of wickets lost and overs available. The D/L method has several advantages, which make it undoubtedly preferable to all previously used retargeting rules: completeness (it is able to handle all kinds of interruptions, even multiple interruptions and other unusual situations); the underlying mathematical model is internally consistent; tables are easily accessible/the computer programme is user-friendly; and the method compared to previous rules preserves the chance of winning by providing a relatively realistic reset target. Duckworth and Lewis (1998) only make available incomplete information relating to the creation of the resource table. Nevertheless, they do reveal that the table entries are based on the estimation of the 20 parameters Z0(w) and b(w), w=0, †¦, 9 corresponding to the function where Z(u,w) is the average total score obtained in u overs in an unlimited overs match where w wickets have been taken. While the utility of the Duckworth/Lewis table in one-day cricket cannot be questioned, a number of questions arise based on (1) and the estimates found in Table 1: Is (1) the best curve when considering that there are several parametric curves that could be fit? Is there any benefit in using a non-parametric fit to derive the table entries? The function (1) refers to unlimited overs cricket but is formed from a basis of one-day rules. Since one-day cricket is limited overs cricket, is there an advantage in taking the structure of the one-day game into account? How are the parameters estimated? If the 10 curves corresponding to w=0, †¦, 9 are fit separately, there are little data available beyond u=30 for fitting the curve with w=9. Also, the asymptotes for the curves with w=0,1,2 (see Figure 1 of Duckworth and Lewis (1998)) fall beyond the range of the data. In Table 1, the last two columns have many identical entries going down the columns. Although very few matches occur under these conditions, is it really sensible for resources to remain constant as the available overs decrease? This is a consequence of the asymptote imposed by (1). Although the D/L method maintains the margin of victory, it does not preserve the probability of victory. The resource table employed by the D/L method, and throughout its several updates, is based on detailed information from a large number of first innings scoring patterns. Therefore, the method assumes that the expected proportion of overall scoring for a particular over when a given number of wickets have been lost is the same in both innings. The validity of this assumption (that scoring patterns are the same in both innings) can be questioned. It has been found that there are a greater relative proportion of runs scored in the early and late overs of second innings, than in the first innings. The rule assumes that run-scoring accelerates right from the beginning of the innings so that runs come at a faster rate for every over completed; an exponential relationship between runs and overs is assumed. Although this captures the fact that run-scoring accelerates at the end of an innings, the moment of stabilisation somewhere after the relaxing of fielding restrictions is overlooked. 50 overs has been the standard format for a One-day International (ODI) for so long (over 20 years) that there is a period between the end of the fifteenth over and the start of the 41st where the batting side keep the scorecard ticking over through nudged and nurdled singles whilst the fielding side are perfectly happy to concede. Furthermore, no consideration is given to powerplay overs in which fielding restrictions are in place. Losing two overs during a period of fielding restrictions reduces a teams resources more than when a team loses the same couple of overs somewhere between, say, overs 25 and 30. The D/L method does not reflect the fact that the first period has a much higher run-scoring capacity than the second. The asymmetry between the equations for resetting targets impairs the quality of impartiality and may even lead to strategic options which are not equally open to both teams. When the target is large and Team 2 forsees a substantial reduction of its innings, Team 2 could take the strategic option to keep as many wickets as possible in hand, even if the scoring rate is less than required: a score of 99/1 (or 110/2, 123/3†¦) after 25 overs in the second innings against a target of 286 for 50 overs would win if no further play is possible. This distorted result is not merely due to the scaling of limited early data but also stems from an idealised assumption of how batting sides deploy their resources during an innings. The D/L method, like other (target) prediction algorithms, tries to fit historical data into a function curve, and uses this to predict future match states. Although this approach is generic and scales well, the specificity of the match is lost. For example, say in two instances a match is interrupted in the first innings with the score at 100/3 after 25 overs. The prediction (extrapolation) for both the matches will be the same. However, if one of the teams were 90/0 after 15 overs and the other team were 40/3 at the same stage, it is highly probable that the second team would have gone on to score more than the first. 3. Turn the tables: A new model for Twenty20 matches For ease of discussion, it is convenient to convert the Duckworth/Lewis resource table to the context of Twenty20; the resource table is shortened to 20 overs and the entries scaled so that an innings beginning with 20 overs and zero wickets corresponds to 100% resources. Table 2 gives the full Duckworth/Lewis resource table (Standard Edition) for Twenty20 where the entries are obtained by dividing the corresponding entry in Table 1 by 0.566 (the resources remaining in a 1-day match where 20 overs are available and zero wickets taken). Table 2. The Duckworth/Lewis resource table (Standard Edition) scaled for Twenty20 Overs available Wickets lost 0 1 2 3 4 5 6 7 8 20 100.0 96.8 92.6 86.7 78.8 68.2 54.4 37.5 21.3 19 96.1 93.3 89.2 83.9 76.7 66.6 53.5 37.3 21.0 18 92.2 89.6 85.9 81.1 74.2 65.0 52.7 36.9 21.0 17 88.2 85.7 82.5 77.9 71.7 63.3 51.6 36.6 21.0 16 84.1 81.8 79.0 74.7 69.1 61.3 50.4 36.2 20.8 15 79.9 77.9 75.3 71.6 66.4 59.2 49.1 35.7 20.8 14 75.4 73.7 71.4 68.0 63.4 56.9 47.7 35.2 20.8 13 71.0 69.4 67.3 64.5 60.4 54.4 46.1 34.5 20.7 12 66.4 65.0 63.3 60.6 57.1 51.9 44.3 33.6 20.5 11 61.7 60.4 59.0 56.7 53.7 49.1 42.4 32.7 20.3 10 56.7 55.8 54.4 52.7 50.0 46.1 40.3 31.6 20.1 9 51.8 51.1 49.8 48.4 46.1 42.8 37.8 30.2 19.8 8 46.6 45.9 45.1 43.8 42.0 39.4 35.2 28.6 19.3 7 41.3 40.8 40.1 39.2 37.8 35.5 32.2 26.9 18.6 6 35.9 35.5 35.0 34.3 33.2 31.4 29.0 24.6 17.8 5 30.4 30.0 29.7 29.2 28.4 27.2 25.3 22.1 16.6 4 24.6 24.4 24.2 23.9 23.3 22.4 21.2 18.9 14.8 3 18.7 18.6 18.4 18.2 18.0 17.5 16.8 15.4 12.7 2 12.7 12.5 12.5 12.4 12.4 12.0 11.7 11.0 9.7 1 6.4 6.4 6.4 6.4 6.4 6.2 6.2 6.0 5.7 The table entries indicate the percentage of resources remaining in a match with the specified number of wickets lost and overs available. To build a resource table for Twenty20 (t20), it is imperative to consider the scoring patterns specific to the shortest version of the game. Hence, consider the 141 international t20 matches involving ICC full member teams that have taken place from the first in 17 February 2005 through to 14 January 2011 (details of these matches can be accessed from ESPN Cricinfo). The shortened matches where the Duckworth/Lewis method was present have been excluded along with the t20 matches involving non-test playing nations (ICC Associates); the latter disqualification is in place to ensure matches are of a consistently high standard. Since scoring patterns in the second innings show a level of dependency to the number of runs scored by Team 1, consider first innings data only in the examination of t20 scoring patterns. Note that in their development of a simulator for one-day cricket match results, Swartz et al (2009) consider batting behaviour in the second innings. Match summary results are obtainable from ESPN Cricinfos statistics website but this study calls for ball-by-ball data. For this, Stephen Lynch (statistician) took pains to compose the associated commentary log for each match and store the data in a tabular form for easy access. For each match, define z(u,w(u)) as the runs scored from the point in the first innings where u overs remain and w(u) wickets have been taken until the conclusion of Team 1s innings. Calculate z(u,w(u)) for all values of u that occur in the first innings for each match beginning with u=20 and w(u)=w(20)=0. Next calculate the matrix T=(tuw) where tuw is the estimated percentage of resources remaining when u overs are available and w wickets have been taken. Calculate (100%) tuw by averaging z(u,w(u)) over all matches where w(u)=w and dividing by the average of z(20, 0) over all matches; the denominator is the average score by a side batting first in a t20 match. In the case of u=0, set tuw=t0w=0.0%. Table 3 displays the matrix T, an initial attempt at a resource table for t20. Note that t20,0=100% as desired. Although T is a non-parametric estimate of resources and makes no assumptions concerning the scoring patterns in t20, it is less than ideal. First, there are many table entries where there are missing data for the given situation. In addition, Table 3 does not exhibit the monotonicity expected. Logically, there is a requirement for a resource table that is non-decreasing from left to right along rows and a requirement for a resource table that is non-decreasing down columns. Also o bserve some conspicuous entries in Table 3, particularly the entry of 110.2% resources corresponding to 19 overs available and two wickets taken. This entry is clearly misleading and should be less than 100%. It arises due to the small sample size (three matches) corresponding to the given situation. For this non-parametric resource table (upcoming), the estimation procedure is robust to observations based on small sample sizes as the surrounding observations based on larger sample sizes have greater influence in the determination of the table. Therefore, there is retention of conspicuous observations such as 110.2%. This investigation of Duckworth/Lewis in Twenty20 should be viewed as one of discovery rather than an attempt to replace the Duckworth/Lewis table. Table 3. The matrix R=(r ow) of estimated resources for Twenty20 Overs available Wickets lost 0 1 2 3 4 5 6 7 8 20 100.0 19 93.6 83.0 110.2 18 90.4 85.8 78.3 17 86.7 80.5 82.8 53.7 16 81.7 74.5 81.9 70.7 32.8 15 76.5 71.4 71.5 65.9 59.9 14 68.3 69.1 67.6 66.2 58.4 13 63.8 68.2 62.4 62.9 59.0 24.3 12 62.1 62.3 60.6 57.3 58.8 44.1 11 60.5 56.3 57.0 53.6 61.0 39.7 10 57.6 49.6 52.1 52.8 48.1 38.6 41.0 35.2 9 54.9 52.1 43.6 49.0 44.1 33.8 35.0 29.7 8 51.0 46.4 41.7 42.2 41.2 36.7 27.5 28.7 7 48.6 45.8 38.9 35.9 39.1 34.8 24.1 25.5 6 54.0 37.9 36.6 30.3 36.2 31.3 20.9 21.4 26.7 5 44.0 32.5 25.4 28.7 29.4 23.9 17.1 14.9 4 28.2 23.4 22.5 22.2 20.9 14.3 10.6 3 20.6 19.9 16.9 17.8 15.8 12.4 7.6 2 21.2 17.6 11.9 13.4 10.6 11.0 7.2 1 8.7 5.2 7.3 6.0 5.5 6.0   The table entries indicate the percentage of resources remaining in a match with the specified number of wickets lost and overs available. Note: Missing entries correspond to match situations where data are unavailable. To impose the monotonicity constraints in the rows and columns, refer to the general problem of isotonic regression. For these purposes, consider the minimisation of with respect to the matrix Y=(yuw) where the double summation corresponds to u=1, †¦, 20 and w=0, †¦, 9, the quw are weights and the minimisation is subject to the constraints yuwgreater than or equal toyu,w+1 and yu,wgreater than or equal toyu−1,w. In addition, impose y20,0=100, y0,w=0 for w=0, †¦, 9 and yu,10=0 for u=1, †¦, 20. Although the fitting of Y is completely non-parametric, there are some arbitrary choices that have been made in the minimisation of (2). First, not only was the choice of squared error discrepancy in (2) convenient for computation, minimisation of the function F with squared error discrepancy corresponds to the method of constrained maximum likelihood estimation where the data ruw are independently normally distributed with means yuw and variances 1/quw. Second, a matrix Y: 20 10 based on overs is chosen. Alternatively, a larger matrix Y: 120 10 based on balls could have been considered. The overs formulation is preferred as it involves less missing data and leads to a less computationally intensive optimization. With a matrix Y based on overs, it is possible to interpolate on a ball-by-ball basis if required. Third, a simple choice has been made with respect to the weights quw. 1/quw is set equal to the sample variance used in the calculation of ruw divided by the sample size. The rationale is that when ruw is less variable, there is stronger belief that yuw should be close to ruw. Table 4 gives a non-parametric resource table based on the minimisation of (2). An algorithm for isotonic regression in two variables was first introduced by Dykstra and Robertson (1982). Fortran code was subsequently developed by Bril et al (1984). An R code implementation has been used that is available from the Iso package on the Cran website (www.cran.r-project.org). The programme requires 27 iterations to achieve convergence. What is unsatisfactory about Table 4 is that it suffers from the same criticism that was directed at the Duckworth-Lewis resource table. There is a considerable number of adjacent entries in Table 4 that have the same value. Again, it is not sensible for resources to remain constant as available overs decrease or wickets increase. The problem is that in the minimization of (2), various fitted ys occur on the boundaries imposed by the monotonicity constraints. Table 4 is also unsatisfactory from the point of view that it is incomplete; missing values corresp ond to match situations where data are unavailable. To address the above criticisms, it is necessary take a slightly different approach to estimation. As previously mentioned, it can been seen that (2) arises from the normal likelihood Therefore, consider a Bayesian model where the unknown parameters in (3) are the ys. A flat default prior is assigned to the ys subject to the monotonicity constraints. It follows that the posterior density takes the form (3) and that Gibbs sampling can be carried out via sampling from the full conditional distributions subject to the local constraints on yuw in the given iteration of the algorithm. Sampling from (4) is easily carried out using a normal generator and rejection sampling according to the constraints. Although in statistical terminology, (3) takes a parametric form, the approach is referred to as non-parametric since no functional relationship is imposed on the ys. Table 4. A non-parametric resource table for Twenty20 based on isotonic regression Overs available Wicket lost 0 1 2 3 4 5 6 7 8 20 100.0 19 93.6 85.5 85.5 18 90.4 85.5 80.8 17 86.7 80.8 80.8 64.7 16 81.7 77.4 77.4 64.7 55.9 15 76.5 71.5 71.5 64.7 55.9 14 68.8 68.8 67.6 64.7 55.9 13 66.6 66.6 62.6 62.6 55.9 38.4 12 62.2 62.2 60.6 57.3 55.9 38.4 11 60.5 56.8 56.8 54.8 54.8 38.4 10 57.6 52.1 52.1 52.1 48.1 38.4 34.1 29.3 9 54.9 52.1 46.5 46.5 44.1 36.3 34.1 29.3 8 51.0 46.4 42.0 42.0 41.2 36.3 28.6 28.6 7 48.6 45.8 38.9 37.3 37.3 34.8 25.3 25.3 6 39.7 39.7 36.6 32.8 32.8 31.3 23.0 21.4 21.4 5 39.7 32.5 28.0 28.0 28.0 23.0 17.1 15.5 4 27.9 23.4 22.5 22.2 20.9 14.3 10.7 3 20.7 19.9 17.4 17.4 15.8 12.4 7.7 2 20.7 17.6 12.5 12.5 10.8 10.8 7.2 1 8.7 6.6 6.6 6.0 5.7 5.7 The table entries indicate the percentage of resources remaining in a match with the specified number of wickets lost and overs available. Missing entries correspond to match situations where data are unavailable. In Table 5, the estimated posterior means of the ys obtained through Gibbs sampling are given, and these provide an alternative resource table for t20. The computations pose no difficulties and the estimates stabilize after 50,000 iterations. For cases of missing data, the Duckworth/Lewis table entries are used to impute the missing rs. The imputation is in the spirit of a Bayesian approach where prior information is utilised. Unlike Table 4, Table 5 is a complete table. Also, there are no longer adjacent table entries with identical values and this is due to the sampling approach. Finally, it can be stated that the methodology allows the input of expert opinion. For example, suppose that there is expert consensus that a table entry yij ought to be tied down to a particular value a. To force this table entry, all that is required is to set rij=a and assign a sufficiently small standard deviation Unfortunately we are unable to provide accessible alternative text for this. If you requi re assistance to access this image, please contact [emailprotected] or the author Table 5. A non-parametric resource table for Twenty20 based on Gibbs sampling Overs available Wickets lost 0 1 2 3 4 5 6 7 8 20 100.0 96.9 93.0 87.9 81.3 72.2 59.9 44.8 29.7 19 95.6 90.9 87.7 83.0 76.9 68.3 56.5 42.0 27.2 18 91.7

Abraham Lincoln and Slavery during the Civil War Essay -- Slavery Essay

Abraham Lincoln once said, â€Å"I claim not to have controlled events, but confess plainly that events have controlled me† (â€Å"Letter to Albert G. Hodges† 281 as qtd. in R.J. Norton 1). In accordance with his quote, when President Lincoln issued the unprecedented Emancipation Proclamation on January 1, 1863, Lincoln freed slaves in the Southern states, but he and his actions were being controlled by Civil War. The Civil War was fought between 1861 and 1865 between the Northern states, or the Union, and the Southern states, or the Confederacy. On September 22, 1862, in the midst of the Civil War, President Abraham Lincoln put forth a Preliminary Emancipation Proclamation (Tackach 45). The document stated that after January 1, 1863, slaves belonging to all Southern states that were still in rebellion would be free (Tackach 45). However, the Emancipation Proclamation had no immediate effect; slavery was not legally prohibited until the Thirteenth Amendment was added t o the Constitution in 1865, about three years after the Emancipation Proclamation was decreed (Tackach 9-10). If the Emancipation Proclamation did not completely abolish slavery, what was the point of the document? Lincoln’s Emancipation Proclamation was not actually written for the purpose of freeing any slaves. Rather, it was a war tactic to militarily weaken the South, add soldiers to the Union cause, and please abolitionist Northerners.   Ã‚  Ã‚  Ã‚  Ã‚  From the start of the Civil War, Lincoln clarified that the goal of the war was not â€Å"`to put down slavery, but to put the flag back,’† and he refused to declare the war as a war over slavery (Brodie 155 as qtd. in Klingaman 75-76). In a letter to Horace Greeley, editor of the New York Tribune, in August 1862, Lincoln wrote: â€Å"My paramount object in this struggle is not either to save or destroy slavery. If I could save the Union without freeing [any] slave I would do it†¦Ã¢â‚¬  (Selected Speeches 343 as qtd. in Tackach 44). Lincoln also refused to declare that slavery was the Civil War’s main focus because many Whites in the North and in the much-valued Border States would not agree with a war to free slaves since they believed Blacks were inferior to Whites (Wheeler 225-226). The political and military advantages of the Border States made Lincoln reluctant to proclaim the Civil War to be a war about slavery (Wheeler 225-226). Even Jefferson Davis, president of the en... ...Nation: A History of the United States. New York: Houghton Mifflin Company, 1999. Lincoln, Abraham. Selected Speeches and Writings. New York: Vintage Books, 1992, - as quoted in - Tackach, James. The Emancipation Proclamation: Abolishing Slavery in the South. San Diego: Lucent Books, 1999. Lincoln, Abraham. â€Å"The Emancipation Proclamation.† Washington D.C.: 1863 -as quoted in- Klingaman, William K. Abraham Lincoln and the Road to Emancipation: 1861-1865. New York: Viking, 2001. McPherson, James M. Abraham Lincoln and the Second American Revolution. New York: Oxford University Press, 1990 - as quoted in - Klingaman, William K. Abraham Lincoln and the Road to Emancipation: 1861-1865. New York: Viking, 2001. Norton, Mary Beth et al. A People and a Nation: A History of the United States. New York: Houghton Mifflin Company, 1999. Tackach, James. The Emancipation Proclamation: Abolishing Slavery in the South. San Diego: Lucent Books, 1999. Wheeler, William Bruce and Susan D. Becker. Discovering the American Past: A Look at the Evidence. New York: Houghton Mifflin Company, 1998. â€Å"Writing the Emancipation Proclamation.† N/G. History Matters. 2 March 2005 . Abraham Lincoln and Slavery during the Civil War Essay -- Slavery Essay Abraham Lincoln once said, â€Å"I claim not to have controlled events, but confess plainly that events have controlled me† (â€Å"Letter to Albert G. Hodges† 281 as qtd. in R.J. Norton 1). In accordance with his quote, when President Lincoln issued the unprecedented Emancipation Proclamation on January 1, 1863, Lincoln freed slaves in the Southern states, but he and his actions were being controlled by Civil War. The Civil War was fought between 1861 and 1865 between the Northern states, or the Union, and the Southern states, or the Confederacy. On September 22, 1862, in the midst of the Civil War, President Abraham Lincoln put forth a Preliminary Emancipation Proclamation (Tackach 45). The document stated that after January 1, 1863, slaves belonging to all Southern states that were still in rebellion would be free (Tackach 45). However, the Emancipation Proclamation had no immediate effect; slavery was not legally prohibited until the Thirteenth Amendment was added t o the Constitution in 1865, about three years after the Emancipation Proclamation was decreed (Tackach 9-10). If the Emancipation Proclamation did not completely abolish slavery, what was the point of the document? Lincoln’s Emancipation Proclamation was not actually written for the purpose of freeing any slaves. Rather, it was a war tactic to militarily weaken the South, add soldiers to the Union cause, and please abolitionist Northerners.   Ã‚  Ã‚  Ã‚  Ã‚  From the start of the Civil War, Lincoln clarified that the goal of the war was not â€Å"`to put down slavery, but to put the flag back,’† and he refused to declare the war as a war over slavery (Brodie 155 as qtd. in Klingaman 75-76). In a letter to Horace Greeley, editor of the New York Tribune, in August 1862, Lincoln wrote: â€Å"My paramount object in this struggle is not either to save or destroy slavery. If I could save the Union without freeing [any] slave I would do it†¦Ã¢â‚¬  (Selected Speeches 343 as qtd. in Tackach 44). Lincoln also refused to declare that slavery was the Civil War’s main focus because many Whites in the North and in the much-valued Border States would not agree with a war to free slaves since they believed Blacks were inferior to Whites (Wheeler 225-226). The political and military advantages of the Border States made Lincoln reluctant to proclaim the Civil War to be a war about slavery (Wheeler 225-226). Even Jefferson Davis, president of the en... ...Nation: A History of the United States. New York: Houghton Mifflin Company, 1999. Lincoln, Abraham. Selected Speeches and Writings. New York: Vintage Books, 1992, - as quoted in - Tackach, James. The Emancipation Proclamation: Abolishing Slavery in the South. San Diego: Lucent Books, 1999. Lincoln, Abraham. â€Å"The Emancipation Proclamation.† Washington D.C.: 1863 -as quoted in- Klingaman, William K. Abraham Lincoln and the Road to Emancipation: 1861-1865. New York: Viking, 2001. McPherson, James M. Abraham Lincoln and the Second American Revolution. New York: Oxford University Press, 1990 - as quoted in - Klingaman, William K. Abraham Lincoln and the Road to Emancipation: 1861-1865. New York: Viking, 2001. Norton, Mary Beth et al. A People and a Nation: A History of the United States. New York: Houghton Mifflin Company, 1999. Tackach, James. The Emancipation Proclamation: Abolishing Slavery in the South. San Diego: Lucent Books, 1999. Wheeler, William Bruce and Susan D. Becker. Discovering the American Past: A Look at the Evidence. New York: Houghton Mifflin Company, 1998. â€Å"Writing the Emancipation Proclamation.† N/G. History Matters. 2 March 2005 .

Effectiveness of the criminal justice system Essay

Assess the effectiveness of the criminal justice system when dealing with young offenders The criminal justice system approaches young offenders through unique policies to address the challenges of dealing with juvenile offending. They take special care when dealing with juveniles in order to stop them from repeat offending and stop any potential bad behaviour which could result in future. Juveniles have the highest tendency to rehabilitate and most adopt law-abiding lifestyles as they mature. There are several factors influencing juvenile crime including psychological and social pressures unique to juveniles, which may lead to an increase in juvenile’s risks of contact with the criminal justice system. Firstly, crime committed by persons between the ages of 15 to 19 are more likely to be processed by police more often than any other societal group, making crime rates in this age bracket significantly higher. This is due to the fact that offence rates usually peak during adolescence and will decline with maturity which happens during early adulthood. The processing of these crimes helps to embed the seed of legal knowledge in the mind of a child in hopes of shaping their future actions. In NSW the age of criminal responsibility is defined by statute as 10 years of age (Children’s (Criminal Proceedings) Act 1987 NSW). This means that a child under the age of 10 years cannot be prosecuted for a crime. The basis of this is the recognition of the immaturity and vulnerability of children and, hence, their inability to form the requisite criminal intent known as mens rea which protects a child from being tried at the level of the adult while they are not developed enough to know the difference between right and wrong. Additionally, the common law presumption of doli incapax refers to the presumption that a child is â€Å"incapable of committing a crime† between 10 and 14 years of age which protects a child who was unaware that the act was wrong. Police are entitled to require that a young person provide them with name, address and proof of identity. As with adults, police have no general power to detain a child for the purpose of questioning. A child or young person  cannot be taken to the police station unless they are under arrest. If arrested, the child’s parents or guardian must be contacted. A child cannot be questioned by police for more than two hours at any one time and is entitled to have their parent, guardian or solicitor present during questioning. If the child is younger than 16 years, parental permission must be obtained or another supporting adult to be present during questioning. There are some exceptions to this in relation to, for example, motor vehicles. If a young person is the owner of a motor vehicle, they are required by law to tell police the name and address of the driver of the vehicle if it is alleged that the driver committed a driving offence. The Children’s Court only hears proceedings for offenders under 18 years or those who are still under 21 years and committed or were charged with the crime while under the age of 18. For this reason, it is a closed court and proceedings aim to be less formal so not to intimidate the child and protect them from harsh labeling and indirect defamation by the wider community which could potentially affect their future. The names of children and young people appearing in the Children’s Court are not published; it is an offence for media outlets to do so. Under very special circumstance the court may grant permission for names to be published.The cases are usually presided over by a Magistrate and there is no jury. The primary purpose of sentencing and the entire process is to nullify the situation and come up with a plan of action to rehabilitate the offender more than punish them, for this reason, it is highly effective. The primary aim of a court when imposing a penalty on a child or young person is to rehabilitate them and give them an opportunity to rebuild their lives and hopefully not reoffend. Magistrates will often request that Juvenile Justice prepare a background report on the child or young person to assist them in the sentencing process. If a guilty plea is entered or the young person is found guilty of a crime, the following penalties may be imposed: A caution may be issued The offender may be referred to a Youth Justice Conference Depending on the offender’s ability to pay they may be fined to a maximum of  $1000 Community Service may be ordered; up to 100 hours for offenders under 16 years and up to 250 hours for those older than 16 The may be placed on a good behaviour bond Discuss factors that affect sentencing decisions, including the purposes of punishment and the role of the victim Statutory and judicial guidelines inform the exercise of judicable discretion in the area of sentencing. They aim to provide greater uniformity in sentencing matters and enhance the integrity of the process. Judicial guidelines are set by the NSW Court of Criminal Appeal. They are not binding but their aim is to structure discretion. For example, for the offence of culpable driving the court has indicated that in the normal course a custodial sentence should be imposed unless exceptional circumstances exist. In terms of statutory guidelines a number of acts inform the exercise of judicial discretion. For example, the Crimes Act 1900 NSW prescribes the maximum sentence that may be imposed for various offences. The Crimes (Sentencing Procedure) Act 1999 NSW also prescribes general guidelines in relation to sentencing. For example it identifies what might constitute a mitigating or aggravating circumstance. However, it is left to the exercise of judicial discretion as to how much weight should be given to such circumstances. The sentence that a Court imposes upon an accused is informed by differing punishment objectives. The objective of deterrence is to discourage people from offending in the future. There are two types of deterrence. Specific deterrence aims to deter an individual offender from re-offending, e.g. a short custodial sentence could be said to have a specific deterrent effect by giving the offender a â€Å"taste† of the prison system in the hope that this will discourage further criminal activity. General deterrence aims to send a message to the community that criminal behaviour is unacceptable and will be punished: for example the imposition of a custodial sentence for a particular crime, whether of short or long duration, could be argued to have a general deterrent effect. This objective is that by making an example of a particular offender, the community will take note and be more willing to  comply with the law. The aim of rehabilitation is to change the behaviour of the offender so that they will not re-offend. Accordingly, rehabilitation is primarily aimed at tackling the problem of recidivism, i.e. repeat offenders. It should be noted that in accordance with the provisions of the Young Offenders Act 1997 NSW, rehabilitation must be the primary focus of any punishment imposed upon a child aged 0 – 15 years, or a young person aged 16 – 18 years. Aggravating factors are factors which increase the offender’s criminal culpability and therefore are likely to result in the offender receiving a more severe punishment e.g. was the crime committed in company? was there gratuitous violence? was the victim a child? was that child under the care of the offender? Mitigating factors are factors which reduce the offender’s criminal culpability and are then likely to result in the offender receiving a less severe punishment, e.g. whether the offender has pleaded guilty or whether the defendant’s actions were in some way provoked by the victim. Since 1996 in NSW, victims are permitted to give a victims impact statement to the Court. This legislative change has arguably been a positive development as the statement gives victims a voice in the judicial process. It is a matter of judicial discretion as to what weight, if any, the judge will give the victim’s impact statement.

How Barometers Measure Air Pressure

How Barometers Measure Air Pressure A barometer is a widely used weather instrument that measures atmospheric pressure (also known as air pressure or barometric pressure) the weight of the air in the atmosphere. It is one of the basic sensors included in weather stations. While an array of barometer types exist, two main types are used in meteorology: the mercury barometer and the aneroid barometer. How the Classic Mercury Barometer Works The classic mercury barometer is designed as a glass tube about 3 feet high with one end open and the other end sealed. The tube is filled with mercury. This glass tube sits upside down in a container, called the reservoir, which also contains mercury. The mercury level in the glass tube falls, creating a vacuum at the top. (The first barometer of this type was devised by Italian physicist and mathematician Evangelista Torricelli in 1643.) The barometer works by balancing the weight of mercury in the glass tube against the atmospheric pressure, much like a set of scales. Atmospheric pressure is basically the weight of air in the atmosphere above the reservoir, so the level of mercury continues to change until the weight of mercury in the glass tube is exactly equal to the weight of air above the reservoir. Once the two have stopped moving and are balanced, the pressure is recorded by reading the value at the mercurys height in the vertical column. If the weight of mercury is less than the atmospheric pressure, the mercury level in the glass tube rises (high pressure). In areas of high pressure, air is sinking toward the surface of the earth more quickly than it can flow out to surrounding areas. Since the number of air molecules above the surface increases, there are more molecules to exert a force on that surface. With an increased weight of air above the reservoir, the mercury level rises to a higher level. If the weight of mercury is more than the atmospheric pressure, the mercury level falls (low pressure). In areas of low pressure, air is rising away from the surface of the earth more quickly than it can be replaced by air flowing in from surrounding areas. Since the number of air molecules above the area decreases, there are fewer molecules to exert a force on that surface. With a reduced weight of air above the reservoir, the mercury level drops to a lower level. Mercury vs. Aneroid Weve already explored how mercury barometers work. One con of using them, however, is that theyre not the safest things (after all, mercury is a highly poisonous liquid metal). Aneroid barometers are more widely used as an alternative to liquid barometers. Invented in 1884 by French scientist Lucien Vidi, the aneroid barometer resembles a compass or clock. Heres how it works: Inside of an aneroid barometer is a small flexible metal box. Since this box has had the air pumped out of it, small changes in external air pressure cause its metal to expand and contract. The expansion and contraction movements drive mechanical levers inside which move a needle. As these movements drive the needle up or down around the barometer face dial, the pressure change is easily displayed. Aneroid barometers are the kinds most commonly used in homes and small aircraft. Cell Phone Barometers Whether or not you have a barometer in your home, office, boat, or plane, chances are your iPhone, Android, or another smartphone has a built-in digital barometer! Digital barometers work like an aneroid, except the mechanical parts are replaced with a simple pressure-sensing transducer. So, why is this weather-related sensor in your phone? Many manufacturers include it to improve elevation measurements provided by your phones GPS services (since atmospheric pressure is directly related to elevation). If you happen to be a weather geek, you get the added benefit of being able to share and crowdsource air pressure data with a bunch of other smartphone users via your phones always-on internet connection and weather apps. Millibars, Inches of Mercury, and Pascals Barometric pressure can be reported in any one of the below units of measure: Inches of Mercury (inHg) - Used mainly in the United States.Millibars (mb) - Used by meteorologists.Pascals (Pa) - The SI unit of pressure, used worldwide.Atmospheres (Atm) - Air pressure at sea level at a temperature of 59 Â °F (15 Â °C) When converting between them, use this formula: 29.92 inHg 1.0 Atm 101325 Pa 1013.25 mb Edited by Tiffany Means

Literary Anaysis A Modest Proposal Essay Example

Literary Anaysis A Modest Proposal Essay Example Literary Anaysis A Modest Proposal Essay Literary Anaysis A Modest Proposal Essay In A Modest Proposal, Jonathan Swift is poking fun at over population while also offering a solution. This relates to today because although not as dramatic, we are having an over population crisis as well. To learn that times were so rough in the seventeenth and eighteenth centuries, it is ironic to think we have learned almost nothing. The same thing is seen on the streets today, these mothers, instead of being able to work for their honest livelihood, are forced to employ all their time in strolling to beg sustenance for their helpless infants (p. 388).It is alarming that hundreds of years have gone by and there is still no solution. Swift offers after-birth abortion satirically, but of course is shot down. Abortion today is continually debated by political figures as well as the common people just as it was in Swifts time. Swift is a genius when it comes to satire and symbolism. When you read A Modest Proposal, the first few pages are so well thought out and written that the reader almost does not know Swift is not being serious about cannibalism. It is also takes a critical eye to see that he is using the wealthy English eating the poor Irish children as a symbol for England taking over Ireland in the social and economic classes. In the world today, we are still having a population crisis. For instance, many countries in Asia are overcrowded and have to limit the number of children they can have. It is sad that so many children are starving and it is almost as if humans have learned nothing. If we could learn anything from the time period Swift was in, it should have been to not bring this problem on ourselves. Children begging and starving and stealing very well could have been prevented in the eighteenth century England and Ireland and most definitely can be prevented today. That is why I chuckle when I read Swifts proposal. He really takes care of all the issues. Children no longer starve. Women can go back to work.

Oxygen Isotope Perturbation and Its Effects on Temperature and Essay

Oxygen Isotope Perturbation and Its Effects on Temperature and Salinity in the Bay of Bengal - Essay Example Oxygen isotope ratio is a climatic proxy, an environmental variable, and it assists climatologists, including paleoclimatologists, to determine certain important climatic parameters, both existing and past, from it. (UNST 232a Mentor Section Assignment 5) Another phenomenon the isotopes are involved in is that oxygen accumulates in the calcium carbonate (CaC) of the shells of marine animals called foraminifera -"Forams". The isotope ratio in the shells depends upon on the temperature and existing isotope ratio of the water in which the animals live or lived. Over periods of time these animals die and their shells descend to the bottom of the sea and form layers that present researchers with important data from which past temperature and isotope ratios can be determined. (UNST 232a Mentor Section Assignment 5) The isotope ratio in any singular stretch of water changes over time. Water molecules made up of the lighter isotope evaporate easily leaving water molecules with the heavier one back in the seawater. When the evaporated water precipitates back into the sea there is little change in the ratio but when the water vapour precipitates on land the lighter isotope is transported to land from where it may come back to the sea via rivers and other waterways or it may remain trapped for thousands of years in the form of ice if it is precipitated as snow on places like the polar icecaps and high mountain tops. (UNST 232a Mentor Section Assignment 5) During normal times the isotope ratio in sea and ocean water is fairly constant but during glacial periods when the icecaps advance beyond normal limits the isotope ratio shifts in favour of for obvious reasons. This is in a comparative sense to normal times. (Oceanography 540, 2002) The isotope ratio is expressed as delta (lower case) with the isotope contents expressed in parts per thousand (per mille) as the following equation demonstrates. = - / x 1000 Higher negativity in indicates greater depletion. (UNST 232a Mentor Section Assignment 5) The standard in this case is of 'Standard Mean Ocean Water' or 'SMOW'. (Oceanography 540, 2002) 3. The 'Foram' Fractionation Factor The foraminifera species being investigated in this report is the planktonic

Development Essay Example | Topics and Well Written Essays - 1500 words

Development - Essay Example 47). Thus development in an organizational context is dependent on some key theoretical aspects like: a) Leadership The main crux of any leadership effort is to motivate people to aspire to achieve a common goal and to extend to them the skills and the attributes that could make them work collectively as a team (Rost 1993, p. 39). A leader always has the ability and the potential to gets things done by others through following the right strategy and attitude. However, such attitude ought to rely predominantly on a feeling of respect for and trust on others and must avoid as far as possible, resorting to fear and submission (Rost 1993, p. 42). Hence, respect and mutual trust are the key elements of leadership. b) Motivation It is very common to come across the reality that varied personnel constituting an organizational team tend to have diverse purposes, goals and aspirations (Mackay 2007, p. 24). Not to say that the eventual success of any project is predominantly dependant on the c ollective commitment of all the team members to the envisaged goal. This is mostly a direct function of their levels of motivation. Motivation in an organizational context is a two pronged process. ... to be bound by a common sense of purpose, thereby extending maximum cooperation to the respective group members, the organizational leadership, the diverse stakeholders associated with the organization and the organizational administration (Lantz 2007, p. 12). Teamwork is always the final outcome of good team building and effective leadership. Team building efforts comprise of varied tasks like defining goals and targets, extending and establishing leadership, management of conflicts, and motivating the respective team members (Lantz 2007). Team building also consists of processes like encouraging the interpersonal behaviour that aids effective communication and negotiating the roles ascribed to respective team members and establishing the procedures that go with them (Lantz 2007). It goes without saying that the team building efforts in an organization are certainly bolstered by the ability of a team leader to solicit the backing and support of the top management. Team building is a lso to a great extent dependant on the ability of a team leader to come out with appropriate reward systems. d) Communication Most of the experts consider communication to be the single most important factor that could make or mar the eventual success of any project (Harris 1993). The success of a project to a great extent relies on the effective communication between team members, between team members and the leadership, and between a team and the diverse stakeholders associated with a project (Harris 1993). A hassle free and open communication is the way to success and achievement. Proper communication is the one potent way to better and improve professional relationships between the varied team members. Hence, a team leader ought to learn about the varied communication aspects of the