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<title>Student Works</title>
<copyright>Copyright (c) 2013 Cornell University ILR School All rights reserved.</copyright>
<link>http://digitalcommons.ilr.cornell.edu/student</link>
<description>Recent documents in Student Works</description>
<language>en-us</language>
<lastBuildDate>Wed, 23 Jan 2013 23:52:49 PST</lastBuildDate>
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<title>Understanding the Racial Disparity in Graduation Rates at a Large Ivy League University</title>
<link>http://digitalcommons.ilr.cornell.edu/student/15</link>
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<pubDate>Fri, 02 Nov 2007 11:22:58 PDT</pubDate>
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	<p>This paper examines the graduation rate disparity between members of underrepresented minority groups (African Americans and Hispanics) and their white and Asian peers at a large Ivy League university. To accomplish this, we use data from a variety of sources, including confidential institutional data on admissions and financial aid as well as publicly available data from the National Center for Educational Statistics and the College Board. We examine the extent to which high school and neighborhood characteristics may be responsible for the disparity. Specifically, we are interested in how the presence of members of a person’s own racial group in high school affects his or her college-level performance, especially for blacks and Hispanics. We find that these own-race effects do not play a significant role in determining graduation probability. We also find that neighborhood characteristics such as the poverty rate and school characteristics such as per-pupil expenditure are not significant. However, it is shown that the institution’s opportunity program plays an important role in fostering the academic success of black students, and a modest role in ensuring that they graduate. We also show that students who are financial aid recipients tend to have a slightly lower graduation rate than non-aid recipients, which shows that graduation success is somewhat linked to a family’s financial situation. While our best model is able to explain virtually the entire Hispanic-white gap, we are only able to explain 43 percent of the black-white gap, suggesting that other non-quantifiable factors are at work.</p>

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<author>Marquise J. McGraw</author>


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<title>Union and Union Threat Premiums Among Graduate Student Stipends</title>
<link>http://digitalcommons.ilr.cornell.edu/student/14</link>
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<pubDate>Fri, 02 Nov 2007 09:17:28 PDT</pubDate>
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	<p>To inform the ongoing debate over graduate student unionization, the author tests for the presence of union-related premiums among teaching and research assistant stipends using data from The Chronicle of Higher Education’s survey of departments in six fields in 2000, 2001, and 2003. Ordinary least squares and instrumental variables methods reveal union and union threat premiums among teaching assistant stipends. There is little evidence of union-related premiums among research assistant stipends. Specifications controlling for union composition or using employment weights reveal that the teaching assistant only union premium is positive for teaching assistant stipends and negative for research assistant stipends. This suggests that collectively bargained contracts may yield benefits for teaching assistants at the expense of research assistants when the latter are excluded from the bargaining unit. There is a positive premium to joint teaching and research assistant unions for teaching assistant stipends and no effect for research assistant stipends.</p>

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<author>Albert Y. Liu</author>


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<title>Do Measures of College Quality Matter? The Effect of College Quality on Graduates’ Earnings</title>
<link>http://digitalcommons.ilr.cornell.edu/student/13</link>
<guid isPermaLink="true">http://digitalcommons.ilr.cornell.edu/student/13</guid>
<pubDate>Wed, 24 Oct 2007 07:51:03 PDT</pubDate>
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	<p>This study reviews and explores the varying effects of college quality caused by different measure of college quality, including Barron’s ratings, mean SAT scores of entering freshman class, tuition and fees, and Carnegie Classification. Data for this research come from NCES’ Baccalaureate & Beyond study. Results suggest that the estimated effect of college quality is sensitive to the measure of college quality, suggesting that different measures of college quality may provide partial explanation for the varying effect of college quality in previous studies. More importantly, the current analysis shows that the common wisdom that it pays to attend high-quality colleges is robust to these measures.</p>

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<author>Liang Zhang</author>


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<title>Crowd Out or Opt Out: The Changing Landscape of Doctorate Production in American Universities</title>
<link>http://digitalcommons.ilr.cornell.edu/student/12</link>
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<pubDate>Wed, 24 Oct 2007 07:48:07 PDT</pubDate>
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	<p>This paper addresses two issues arising from the changing pattern of doctorate production in American universities in last forty years. First, there has been a large increase in the number of doctorates awarded to foreign students. This leads to the concern that foreign doctorates have crowded out native doctorates especially certain groups of native doctorates such as native male and minorities. Second, graduate programs are increasingly becoming “feminine,” and some academic fields have already witnessed a ratcheting process toward female. This gives rise to concern about gender segregation among academic fields. Using data on the number of doctorates awarded in all academic fields from 1966 to 2002, this study examines the crowding-out effect and the tipping effect systematically. In science and engineering fields, there is no evidence of crowding-out between foreign doctorates and native doctorates. Outside of science and engineering, there is a strong negative correlation between the number of foreign doctorates and native male doctorates; however, non-science education accounts for almost all the negative association, suggesting the inappropriateness of aggregating fields in examining the crowding-out effect. Male students, especially native male students, exhibit strong “women-avoiding” behaviors in selecting academic fields of doctoral study, suggesting that native male students opt out of, instead of being crowded out of fields with a high proportion of female doctorates. As the gender composition of college graduates has started to stabilize in recent years, it is unlikely that those fields that already have a high proportion of female doctorates will be tipping toward all female.</p>

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<author>Liang Zhang</author>


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<title>Post-Baccalaureate Wage Growth within Four Years of Graduation: The Effects of College Quality and College Major</title>
<link>http://digitalcommons.ilr.cornell.edu/student/11</link>
<guid isPermaLink="true">http://digitalcommons.ilr.cornell.edu/student/11</guid>
<pubDate>Wed, 24 Oct 2007 07:41:22 PDT</pubDate>
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	<p>This paper examines the impact of college quality and academic major on the earnings of a nationally representative sample of baccalaureate recipients. We extend previous work in this area by analyzing the magnitude of change in the influence of these factors at two points in the early career of these graduates. Our results demonstrate that, despite significant variation, graduates from higher quality colleges enjoy a greater rate of growth in earnings during their early career. We also show that growth in earnings varies significantly by the graduates’ major field of study. Wage growth for women and racial minorities is also examined.</p>

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<author>Scott L. Thomas et al.</author>


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<title>The Public Interest in Higher Education</title>
<link>http://digitalcommons.ilr.cornell.edu/student/10</link>
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<pubDate>Mon, 22 Oct 2007 08:34:36 PDT</pubDate>
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	<p>[Excerpt] In order for policymakers to make informed decisions they must address four questions beyond understanding the private investment decisions of individuals. First, what are the economic and non-economic benefits (both public and private) of higher education investments beyond the expected earnings advantages of individuals? What is the theoretical rationale for when public investments are justified? Second, what types of returns can be expected? Do we know anything about the expected magnitude of these returns? Third, how can one measure the social returns? Fourth, what are the analytical and practical challenges to measuring these returns and implementing policy?   The following section will address these four questions in turn, with a focus on surveying what economists currently know and are working toward with respect to each. The remainder of the paper will discuss issues we feel are particularly important for understanding fully what the public returns to investments in higher education are. These topics include examining the role of agricultural and cooperative experiment programs at universities and the prospects for their future; complementarities between higher education and elementary and secondary education; the role of community colleges; states’ capacity to educate its citizens and the role of nonresident enrollments in higher education; the relationship between higher education and the workforce; and support for undergraduate education versus support for “big science” and technology transfer.</p>

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<author>Michael J. Rizzo</author>


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<title>Time-of-Transfer and the Outcomes of Attending a Four-Year College: Evidence from SUNY</title>
<link>http://digitalcommons.ilr.cornell.edu/student/9</link>
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<pubDate>Mon, 22 Oct 2007 08:30:22 PDT</pubDate>
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	<p>This paper examines the relationships between time of transfer from community college to four-year college and three outcomes of attending four-year college: probability of baccalaureate, time to baccalaureate, and credits earned at baccalaureate. Using enrollment data from the State University of New York, I establish that transfer students from community colleges have a longer and more widespread time-to-baccalaureate distribution than do non-transfer (“native”) students, are more likely to have taken time off than natives with the same number of terms completed, and also have fewer credits accumulated than equivalent natives. Multinomial Logit estimations show that “transferring up” after the first, second, and fourth semester of community college attendance is associated with the highest probability of eventual baccalaureate receipt. However, when I add controls for time taken off and credits accumulated, there is a “U-shaped” impact of time spent at a two-year college on the probability of earning a baccalaureate within eight years, with transferring after five semesters now yielding the <i>lowest</i> likelihood of 8-year baccalaureate. Those who transfer “early”—having completed fewer than four community college terms—and do not quickly attrite do not maintain the credit and enrollment statuses of equivalent natives; those who transfer “late”—after six or more semesters at community college—typically earn more credits in a semester than equivalent natives. Without controlling for pre-transfer attendance factors, transferring after four semesters appears to yield the shortest time-to-baccalaureate for those who eventually graduate; when controls for demographics and credits accumulated are added, transferring after exactly one semester yields a significantly higher time-to-baccalaureate for engineering and biological science majors. Transferring up after four or more semesters is associated with extra credits at baccalaureate receipt for students in both math/science majors and majors in large occupational fields, though the impacts are not particularly large in important fields of study.</p>

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<author>Andrew W. Nutting</author>


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<title>A (Less Than) Zero Sum Game? State Funding for Public Education: How Public Higher Education Institutions Have Lost</title>
<link>http://digitalcommons.ilr.cornell.edu/student/8</link>
<guid isPermaLink="true">http://digitalcommons.ilr.cornell.edu/student/8</guid>
<pubDate>Mon, 22 Oct 2007 08:27:11 PDT</pubDate>
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	<p>[Excerpt] This dissertation studies the long-term decline in state preferences for education spending in the United States. It constructs an expansive state-level panel data set spanning the fiscal years 1976-77 through 2000-2001 to examine how three budget share measures have changed within states over time and across states at a point in time. The share of state discretionary expenditures allocated to public education has fallen by four percentage points since 1977, while the share of public education expenditures allocated to public higher education has fallen by six points. In addition, the share of public higher education dollars appropriated to institutions (as opposed to directly to students) has fallen by four percentage points. Together the declines translate into real institutional appropriation losses of $2,800 per student in an “average” state – significantly more than the $1,700 increase in real average public four-year instate tuition rates since 1977.</p>
<p>Among the main findings are that competing budget items do not appear to “crowd out” education’s budget share. Court mandated K12 funding equalization has resulted in substantial increases in education spending within states, with over a quarter of the increase coming at the expense of public higher education. Attempts by public institutions to increase tuition or raise private funds are seen to trigger a cycle of future budget share cuts, calling into question what institutions can do as they rapidly spiral toward the private “high tuition” equilibrium. The sensitivity of higher education budget shares to observable state factors has increased over time and dynamic panel estimates indicate that states exercise more discretion over the determination of the higher education – K12 split than over other budgetary decisions.</p>
<p>Three additional findings are noteworthy. First, cross-cohort ethnic heterogeneity increases have led to funding shifts away from higher education. Second, the surging popularity of targeted, merit student-aid programs appears to have been in an effort to redistribute income to economically well-off families. Third, as more households in a state become eligible to receive federal Pell grants, states move aid away from institutions and toward students – sanctioning tuition increases to potentially capture increased student eligibility for federal grant aid.</p>

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<author>Michael J. Rizzo</author>


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<title>A (Less Than) Zero Sum Game? State Funding for Public Education: How Public Higher Education Institutions Have Lost</title>
<link>http://digitalcommons.ilr.cornell.edu/student/7</link>
<guid isPermaLink="true">http://digitalcommons.ilr.cornell.edu/student/7</guid>
<pubDate>Tue, 16 Oct 2007 11:02:53 PDT</pubDate>
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	<p>It is well known that public higher education funding fluctuates dramatically with the business cycle – bearing the brunt of the legislative axe during tight budget periods with the expectation that it will be generously increased when flush times return. What is not well known is that public higher education budgets have suffered a steady erosion in funding priority for over 25 years – including during the bull-market of the 1990s. In particular, between 1977 and 2001, in all fifty states, three budget share measures have suffered substantial declines. First, the average share of state general fund budgets allocated to public education has fallen by four percentage points. Second, the average share of public education budgets allocated to public higher education has fallen by six percentage points. Third, the average share of public higher education budgets allocated to institutions (as opposed to direct student aid) has fallen by four percentage points. Together the declines have translated into real institutional appropriation losses of $2,800 per student in an “average” state –significantly more than the approximately $1,700 increase in real average public four-year instate tuition rates over this same period.</p>
<p>Using a rich panel data set spanning 26 years that was assembled from a variety of sources, I estimate a variety of specifications to investigate the causes of the declines in these three budget share measures. Among the main findings are that competing budget items do not appear to “crowd out” education’s budget share, rather its fall is caused primarily by changes in the income distribution within states. Court mandated K12 funding equalization has resulted in substantial increases in education spending within states, however, over a third of this increase has come at the expense of public higher education.</p>
<p>Attempts by public institutions to respond to lagging state appropriations by increasing tuition or private fundraising efforts are seen to trigger a cycle of future higher education budget share cuts, which calls into question what politicians expect institutions to do in the face of budget difficulties, as the institutions rapidly spiral toward a private “high tuition” equilibrium. The sensitivity of higher education budget shares to observable state factors has increased over time and dynamic panel estimates indicate that states exercise more discretion over the determination of the higher education – K12 split than they do over other budget decisions.</p>
<p>Three additional findings indicate that states have taken advantage of the higher education finance system to achieve other goals. First, the increasing ethnic heterogeneity across the noncollege and college aged cohorts has led to a shift of funding away from higher education. Second, the surge in popularity of targeted, non-means tested student aid programs appears to have been in an effort to redistribute income to economically well-off families. Finally, states appear to have “gamed” the higher education finance system to take advantage of perverse incentives created by federal student aid programs. Specifically, as more households in a state become eligible to receive federal Pell grants, states respond by moving aid away from institutions and toward students – allowing tuition to rise and to capture increased eligibility for federal grant aid.</p>

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<author>Michael J. Rizzo</author>


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<title>Wealth and the Allocation of Resources At Private Institutions of Higher Education</title>
<link>http://digitalcommons.ilr.cornell.edu/student/6</link>
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<pubDate>Tue, 16 Oct 2007 10:59:41 PDT</pubDate>
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	<p>Utilizing a model whereby institutional wealth is allocated between financial and physical capital assets, this paper tracks the growing inequality of resources among institutions of higher education. Multivariate analyses are employed to discern the determinants of within institutional wealth allocation.</p>

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<author>Matthew Nagowski</author>


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<title>Faculty Productivity in Supervising Doctoral Students’ Dissertations at Cornell University</title>
<link>http://digitalcommons.ilr.cornell.edu/student/5</link>
<guid isPermaLink="true">http://digitalcommons.ilr.cornell.edu/student/5</guid>
<pubDate>Mon, 15 Oct 2007 08:41:44 PDT</pubDate>
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	<p>Excerpt] Economists and academic administrators have long been concerned with issues of faculty productivity. For example, sets of studies have addressed whether faculty research productivity is related to faculty salaries, whether gender differences in faculty salaries remain after one controls for research productivity, and whether a negative association between faculty salary and seniority at an institution is due to universities having monopsony power or due to declining faculty research productivity with seniority.</p>
<p>To take another example, concern that the ending of mandatory retirement, which became effective for tenured faculty in January 1994, would lead to an aging nonproductive faculty has led other researchers to examine how faculty research and teaching productivity, the latter measured by undergraduate student evaluations, have varied over the life cycle. More recently, researchers studied whether declining research productivity is related to the acceptance of an offer for an early retirement incentive. Finally, other researchers have looked at how faculty research productivity varies across cohorts, finding that when a scientist enters the labor market has a substantial effect on his or her productivity over the life cycle and that more recently educated cohorts are not necessarily more productive than earlier cohorts.   While some studies have looked at the implicit role that PhD student production has on the quality rankings of PhD programs, to our knowledge no studies have focused on how the distribution of PhD student supervisory responsibilities varies across faculty members at a university. Our study uses data on all PhDs produced during a 7-year period at Cornell University to illustrate how researchers can study whether the degree of inequality in PhD student supervision across faculty members within a broad field of study, varies across fields, as well as what the determinants are of differences in PhD student supervision responsibilities across individual faculty members within each broad field. Of particular concern to us, given the elimination of mandatory retirement, is how faculty members’ productivity in the supervision of PhD students varies over their life cycles.</p>

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<author>Peter M. Crosta et al.</author>


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<title>Associate Professor Turnover at America’s Public and Private Institutions of Higher Education</title>
<link>http://digitalcommons.ilr.cornell.edu/student/4</link>
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<pubDate>Mon, 15 Oct 2007 08:36:46 PDT</pubDate>
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	<p>This paper uses data from the American Association of University Professors annual salary survey to compute continuation rates for associate professors at American colleges and universities during the 1996-97 to 2001-2002 period. Findings demonstrate that average continuation rates are higher for private academic institutions than for public academic institutions in bachelors-level, masters-level and doctoral-level institutions. Multivariate analyses indicate that the average level of faculty compensation at an institution is an important predictor of the continuation rate. All other things held equal, institutions with higher average faculty compensation have higher continuation rates. However, the magnitude of this relationship is not sufficiently large enough to warrant change in compensation policies at academic institutions, particularly between public and private institutions. The benefits associated with raising average faculty compensation to increase the tenured faculty’s continuation rates at public universities are unlikely to match or exceed the costs of doing so.</p>

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<author>Matthew Nagowski</author>


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<title>Do Median Grades Vary Across Departments?</title>
<link>http://digitalcommons.ilr.cornell.edu/student/3</link>
<guid isPermaLink="true">http://digitalcommons.ilr.cornell.edu/student/3</guid>
<pubDate>Mon, 15 Oct 2007 08:25:36 PDT</pubDate>
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	<p>[Excerpt] This study will analyze if median course grades systematically vary across departments in Cornell University’s College of Arts and Sciences. After briefly discussing other factors that might be expected to influence median grades and thus must be included in the analyses, I present my empirical findings. A final section discusses the implications of my findings.</p>

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<author>Jay Parekh</author>


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<title>The Law at Work: What You Need to Know About Your Rights</title>
<link>http://digitalcommons.ilr.cornell.edu/student/2</link>
<guid isPermaLink="true">http://digitalcommons.ilr.cornell.edu/student/2</guid>
<pubDate>Fri, 23 Mar 2007 07:31:01 PDT</pubDate>
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	<p>[Excerpt] If you have ever had a job, you have probably had some questions about your rights as a worker. This booklet helps answer some of the most frequently asked questions about the laws that cover workers and workplaces. If your question is not answered, or you want more information about a particular topic or help with a problem, just check the back of the booklet for a list of agencies and organizations that can help answer your questions.</p>
<p>The information in this booklet comes from several sources, most published by the U.S. Department of Labor or the New York State Department of Labor. The authors are not lawyers and the information in this booklet is not professional legal advice. If you are experiencing a problem at work, please contact one of the agencies or organizations that we have listed in the back of this booklet. In many cases, it is also a good idea for you to talk to a lawyer who deals with labor and employment law issues. Many lawyers will meet with you to talk about your problem for free, and some will represent you for free.</p>

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<author>Kiernan  Joliat  et al.</author>


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<title>Collection of Intern Research Reports: 2005/2006</title>
<link>http://digitalcommons.ilr.cornell.edu/student/1</link>
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<pubDate>Mon, 22 May 2006 13:04:12 PDT</pubDate>
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	<p>The third year of the DOL-APU internship program for Cornell University students, held during the winter intersession, has recently ended. Eight students, seven from the ILR School and one from the School of Arts and Sciences, completed the program as described in the appended Objectives and Features of the Program; seven then submitted written reports of varying levels of completion and utility. From among this pool, we selected three reports as sufficiently advanced in their presentation and in the value of the data to warrant inclusion in this collection.</p>

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<author>Aaron Gingrande et al.</author>


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