Overview of Dissertation Sample Clauses

Overview of Dissertation. 15 2 The Failure of Simple Stories to Explain Prison Privatization 18 2.1 Privatization and Government Service Provision . . . . . . . . . . . . 20 2.2 The Decision to Privatize Prisons . . . . . . . . . . . . . . . . . . . . 23 2.3 Private Prisons: The Data . . . . . . . . . . . . . . . . . . . . . . . . 31 2.3.1 What is Missing? . . . . . . . . . . . . . . . . . . . . . . . . . 32 2.3.2 An Original Dataset . . . . . . . . . . . . . . . . . . . . . . . 34 2.3.3 What Does the Data Look Like? . . . . . . . . . . . . . . . . 36 2.4 What Determines States’ Use of Private Prisons? . . . . . . . . . . . 49 2.4.1 Private Prison Adoption . . . . . . . . . . . . . . . . . . . . . 49 2.4.2 Private Prison Levels . . . . . . . . . . . . . . . . . . . . . . . 54 2.4.3 Different Dependent Variables . . . . . . . . . . . . . . . . . . 57 2.4.4 Campaign Contributions . . . . . . . . . . . . . . . . . . . . . 2.4.5 Alternative Operationalizations of Ideology and Union Mem- bership . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58 61 2.5 Implications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62 3 The Rights Revolution and Prison Privatization 63
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Overview of Dissertation. This dissertation aims to shine a light on state adoption of private prisons. To fully explore this phenomenon, I engage with common explanations of privatization, before presenting a new theory on why states choose to privatize their prisons that is centered around inmate lawsuits. Then, I test this prediction empirically. Finally, I consider how the firms themselves respond to lawsuits to analyze whether the firms’ economic outlook depends on the political environment. Chapter 2 considers a number of common explanations for the adoption of private prisons: politics, economics, unionization, and campaign contributions. I introduce the original dataset at the heart of this dissertation that is longitudinally and geo- graphically diverse and contains information on the location of private prisons in the United States from 1986 to 2016, the most comprehensive dataset of these institu- tions thus far developed. I then use this dataset to test these common explanations and find that none of these explain this policy choice, despite the many scholarly and public anecdotes surrounding private prisons. If these factors do not explain prison privatization, what does? Chapter 3 introduces the central theoretical framework of my dissertation and argues it is the advent of the prisoners’ rights movement and inmates’ use of litiga- tion that prompted the rise of private carceral institutions. I review the historical development of prisoners’ rights and the massive increase in inmate litigation before developing a set of hypotheses about how lawsuits influence the adoption of private prisons. I argue a higher number of successful inmates’ lawsuits make a state more likely to privatize their carceral facilities to avoid legal and political accountability for poor prison conditions. Alternatively, the second hypothesis argues that an increase in the number of court orders against a state will make a state less likely to privatize. Because the judicial decrees are effectively forcing states to develop coherent rules and standards, it removes the incentive to privatize to limit accountability. Chapter 4 then empirically tests these hypotheses using an instrumental variables design and the original dataset of private prisons. I use this dataset and the ex- pectations laid out in Chapter 3 and test my hypotheses and find support for both empirically. States that experience a higher number of inmates’ lawsuits are more likely to privatize, whereas those states that face more ...

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  • Thesis/Dissertation If your license is for use in a thesis/dissertation your thesis may be submitted to your institution in either print or electronic form. Should your thesis be published commercially, please reapply for permission. These requirements include permission for the Library and Archives of Canada to supply single copies, on demand, of the complete thesis and include permission for Proquest/UMI to supply single copies, on demand, of the complete thesis. Should your thesis be published commercially, please reapply for permission. Theses and dissertations which contain embedded PJAs as part of the formal submission can be posted publicly by the awarding institution with DOI links back to the formal publications on ScienceDirect.

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  • How to File an Appeal of a Prescription Drug Denial For denials of a prescription drug claim based on our determination that the service was not medically necessary or appropriate, or that the service was experimental or investigational, you may request an appeal without first submitting a request for reconsideration. You or your physician may file a written or verbal prescription drug appeal with our pharmacy benefits manager (PBM). The prescription drug appeal must be submitted to us within one hundred and eighty (180) calendar days of the initial determination letter. You will receive written notification of our determination within thirty (30) calendar days from the receipt of your appeal. How to File an Expedited Appeal Your appeal may require immediate action if a delay in treatment could seriously jeopardize your health or your ability to regain maximum function, or would cause you severe pain. To request an expedited appeal of a denial related to services that have not yet been rendered (a preauthorization review) or for on-going services (a concurrent review), you or your healthcare provider should call: • our Grievance and Appeals Unit; or • our pharmacy benefits manager for a prescription drug appeal. Please see Section 9 for contact information. You will be notified of our decision no later than seventy-two (72) hours after our receipt of the request. You may not request an expedited review of covered healthcare services already received.

  • Overview (a) The Employer is committed to maintaining a stable and skilled workforce, recognising its contribution to the operation of the Employer. As such, full time direct and ongoing employment is a guiding principle of this Agreement.

  • Search, Enquiry, Investigation, Examination And Verification a. The Property is sold on an “as is where is basis” subject to all the necessary inspection, search (including but not limited to the status of title), enquiry (including but not limited to the terms of consent to transfer and/or assignment and outstanding charges), investigation, examination and verification of which the Purchaser is already advised to conduct prior to the auction and which the Purchaser warrants to the Assignee has been conducted by the Purchaser’s independent legal advisors at the time of execution of the Memorandum.

  • Office of Inspector General Investigative Findings Expert Review In accordance with Senate Bill 799, Acts 2021, 87th Leg., R.S., if Texas Government Code, Section 531.102(m-1)(2) is applicable to this Contract, Contractor affirms that it possesses the necessary occupational licenses and experience.

  • STAFF ORIENTATION 4101 The Employer shall provide an appropriate orientation program for nurses newly employed. The orientation program shall include such essential information as policies, nursing procedures, the location of supplies and equipment, fire, safety and disaster plans. Where necessary, orientation shall be provided for nurses moving to a new area of practice. 4102 The Employer shall provide a program of inservice education for nurses pertinent to patient care. 4103 The Employer shall provide, access to reference materials as is required in relation to maintaining current knowledge of general nursing care. APPENDIX "A" - SALARIES A1. Effective April 1, 2013 - Monthly salaries include a 2% general increase. - Hourly salary is calculated as (monthly salary x 12) ÷ annual hours. Nurse Classification Annual Hours Start Year 1 Year 2 Year 3 Year 4 Year 5 Year 6 20 Year 1 Licensed Practical Nurse 2015 Hourly 25.198 26.022 26.836 27.825 28.732 29.745 30.804 31.420 Monthly 4,231.164 4,369.528 4,506.212 4,672.281 4,824.582 4,994.681 5,172.505 5,275.942 Annual 50,773.970 52,434.330 54,074.540 56,067.375 57,894.980 59,936.175 62,070.060 63,311.300 Nurse II 2015 Hourly 32.917 34.066 35.218 36.419 37.593 38.811 39.587 Monthly 5,527.313 5,720.249 5,913.689 6,115.357 6,312.491 6,517.014 6,647.317 Annual 66,327.755 68,642.990 70,964.270 73,384.285 75,749.895 78,204.165 79,767.805 Nurse II (20 Year Scale) 2015 Hourly 33.575 34.747 35.923 37.148 38.345 39.587 Monthly 5,637.802 5,834.600 6,032.070 6,237.768 6,438.765 6,647.317 Annual 67,653.625 70,015.205 72,384.845 74,853.220 77,265.175 79,767.805 Nurse III 2015 Hourly 34.168 35.321 36.523 37.697 38.787 39.975 41.201 42.025 Monthly 5,737.377 5,930.985 6,132.820 6,329.955 6,512.984 6,712.469 6,918.335 7,056.698 Annual 68,848.520 71,171.815 73,593.845 75,959.455 78,155.805 80,549.625 83,020.015 84,680.375 Nurse III (20 Year Scale) 2015 Hourly 34.851 36.027 37.254 38.451 39.563 40.775 42.025 Monthly 5,852.064 6,049.534 6,255.568 6,456.564 6,643.287 6,846.802 7,056.698 Annual 70,224.765 72,594.405 75,066.810 77,478.765 79,719.445 82,161.625 84,680.375 Nurse IV 2015 Hourly 35.340 36.649 37.959 39.387 41.024 42.612 44.273 45.158 Monthly 5,934.175 6,153.978 6,373.949 6,613.734 6,888.613 7,155.265 7,434.175 7,582.781 Annual 71,210.100 73,847.735 76,487.385 79,364.805 82,663.360 85,863.180 89,210.095 90,993.370 Nurse IV (20 Year Scale) 2015 Hourly 36.047 37.382 38.718 40.175 41.844 43.464 45.158 Monthly 6,052.892 6,277.061 6,501.398 6,746.052 7,026.305 7,298.330 7,582.781 Annual 72,634.705 75,324.730 78,016.770 80,952.625 84,315.660 87,579.960 90,993.370 Nurse V 2015 Hourly 37.305 38.733 40.369 41.957 43.690 45.388 47.157 48.100 Monthly 6,264.131 6,503.916 6,778.628 7,045.280 7,336.279 7,621.402 7,918.446 8,076.792 Annual 75,169.575 78,046.995 81,343.535 84,543.355 88,035.350 91,456.820 95,021.355 96,921.500 Nurse V (20 Year Scale) 2015 Hourly 38.051 39.508 41.177 42.797 44.564 46.296 48.100 Monthly 6,389.397 6,634.052 6,914.305 7,186.330 7,483.038 7,773.870 8,076.792 Annual 76,672.765 79,608.620 82,971.655 86,235.955 89,796.460 93,286.440 96,921.500 Nurse Practitioner 2015 Hourly 42.515 45.635 47.511 49.385 51.408 52.437 Monthly 7,138.977 7,662.877 7,977.889 8,292.565 8,632.260 8,805.046 Annual 85,667.725 91,954.525 95,734.665 99,510.775 103,587.120 105,660.555 Nurse Practitioner (20 Year Scale) 2015 Hourly 43.365 46.548 48.461 50.373 52.437 Monthly 7,281.706 7,816.185 8,137.410 8,458.466 8,805.046 Annual 87,380.475 93,794.220 97,648.915 101,501.595 105,660.555 Weekend Worker Rates Annual Hours Start Year 1 Year 2 Year 3 Year 4 Year 5 Year 6 20 Year 1 Weekend Worker - Licensed Practical Nurse 2015 Hourly 28.977 29.925 30.861 31.999 33.042 34.206 35.425 36.133 Monthly 4,865.721 5,024.906 5,182.076 5,373.165 5,548.303 5,743.758 5,948.448 6,067.333 Annual 58,388.655 60,298.875 62,184.915 64,477.985 66,579.630 68,925.090 71,381.375 72,807.995 Weekend Worker - Nurse II 2015 Hourly 37.855 39.176 40.501 41.882 43.232 44.633 45.526 Monthly 6,356.485 6,578.303 6,800.793 7,032.686 7,259.373 7,494.625 7,644.574 Annual 76,277.825 78,939.640 81,609.515 84,392.230 87,112.480 89,935.495 91,734.890 Weekend Worker - Nurse II (20 Year Scale) 2015 Hourly 38.612 39.959 41.311 42.720 44.097 45.526 Monthly 6,483.598 6,709.782 6,936.805 7,173.400 7,404.621 7,644.574 Annual 77,803.180 80,517.385 83,241.665 86,080.800 88,855.455 91,734.890 Weekend Worker - Nurse III 2015 Hourly 39.293 40.619 42.002 43.352 44.605 45.971 47.381 48.329 Monthly 6,597.950 6,820.607 7,052.836 7,279.523 7,489.923 7,719.297 7,956.060 8,115.245 Annual 79,175.395 81,847.285 84,634.030 87,354.280 89,879.075 92,631.565 95,472.715 97,382.935 Weekend Worker - Nurse III (20 Year Scale) 2015 Hourly 40.079 41.431 42.842 44.219 45.497 46.891 48.329 Monthly 6,729.932 6,956.955 7,193.886 7,425.107 7,639.705 7,873.780 8,115.245 Annual 80,759.185 83,483.465 86,326.630 89,101.285 91,676.455 94,485.365 97,382.935 Weekend Worker - Nurse IV 2015 Hourly 40.641 42.146 43.653 45.295 47.177 49.003 50.914 51.932 Monthly 6,824.301 7,077.016 7,330.066 7,605.785 7,921.805 8,228.420 8,549.309 8,720.248 Annual 81,891.615 84,924.190 87,960.795 91,269.425 95,061.655 98,741.045 102,591.710 104,642.980 Weekend Worker - Nurse IV (20 Year Scale) 2015 Hourly 41.454 42.989 44.526 46.201 48.121 49.983 51.932 Monthly 6,960.818 7,218.570 7,476.658 7,757.918 8,080.318 8,392.979 8,720.248 Annual 83,529.810 86,622.835 89,719.890 93,095.015 96,963.815 100,715.745 104,642.980 Weekend Worker - Nurse V 2015 Hourly 42.900 44.543 46.425 48.251 50.244 52.196 54.230 55.315 Monthly 7,203.625 7,479.512 7,795.531 8,102.147 8,436.805 8,764.578 9,106.121 9,288.310 Annual 86,443.500 89,754.145 93,546.375 97,225.765 101,241.660 105,174.940 109,273.450 111,459.725 Weekend Worker - Nurse V (20 Year Scale) 2015 Hourly 43.758 45.434 47.353 49.216 51.249 53.240 55.315 Monthly 7,347.698 7,629.126 7,951.358 8,264.187 8,605.561 8,939.883 9,288.310 Annual 88,172.370 91,549.510 95,416.295 99,170.240 103,266.735 107,278.600 111,459.725 1 Eligibility for the 20 Year increment is determined in accordance w ith Article 2105.

  • Proposing Integration Activities in the Planning Submission No integration activity described in section 6.3 may be proposed in a CAPS unless the LHIN has consented, in writing, to its inclusion pursuant to the process set out in section 6.3(b).

  • Results and Discussion Table 1 (top) shows the root mean square error (RMSE) between the three tests for different numbers of topics. These results show that all three tests largely agree with each other but as the sample size (number of topics) decreases, the agreement decreases. In line with the results found for 50 topics, the randomization and bootstrap tests agree more with the t-test than with each other. We looked at pairwise scatterplots of the three tests at the different topic sizes. While there is some disagreement among the tests at large p-values, i.e. those greater than 0.5, none of the tests would predict such a run pair to have a significant difference. More interesting to us is the behavior of the tests for run pairs with lower p-values. ≥ Table 1 (bottom) shows the RMSE among the three tests for run pairs that all three tests agreed had a p-value greater than 0.0001 and less than 0.5. In contrast to all pairs with p-values 0.0001 (Table 1 top), these run pairs are of more importance to the IR researcher since they are the runs that require a statistical test to judge the significance of the per- formance difference. For these run pairs, the randomization and t tests are much more in agreement with each other than the bootstrap is with either of the other two tests. Looking at scatterplots, we found that the bootstrap tracks the t-test very well but shows a systematic bias to produce p-values smaller than the t-test. As the number of topics de- creases, this bias becomes more pronounced. Figure 1 shows a pairwise scatterplot of the three tests when the number of topics is 10. The randomization test also tends to produce smaller p-values than the t-test for run pairs where the t- test estimated a p-value smaller than 0.1, but at the same time, produces some p-values greater than the t-test’s. As Figure 1 shows, the bootstrap consistently gives smaller p- values than the t-test for these smaller p-values. While the bootstrap and the randomization test disagree with each other more than with the t-test, Figure 1 shows that for a low number of topics, the randomization test shows less noise in its agreement with the bootstrap com- Figure 1: A pairwise comparison of the p-values less than 0.25 produced by the randomization, t-test, and the bootstrap tests for pairs of TREC runs with only 10 topics. The small number of topics high- lights the differences between the three tests. pared to the t-test for small p-values.

  • ETHICS IN PUBLIC CONTRACTING This Contract incorporates by reference Article 9 of the Arlington County Purchasing Resolution, as well as all state and federal laws related to ethics, conflicts of interest or bribery, including the State and Local Government Conflict of Interests Act (Code of Virginia § 2.2-3100 et seq.), the Virginia Governmental Frauds Act (Code of Virginia § 18.2-498.1 et seq.) and Articles 2 and 3 of Chapter 10 of Title 18.2 of the Code of Virginia, as amended (§ 18.2-438 et seq.). The Contractor certifies that its proposal was made without collusion or fraud; that it has not offered or received any kickbacks or inducements from any other offeror, supplier, manufacturer or subcontractor; and that it has not conferred on any public employee having official responsibility for this procurement any payment, loan, subscription, advance, deposit of money, services or anything of more than nominal value, present or promised, unless consideration of substantially equal or greater value was exchanged.

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