1,721,042 research outputs found
Redistribution without distortion: Evidence from an affirtmative action program at a large Brazilian university
In this paper, we examine an innovative affirmative action policy designed to increase the representation of underprivileged students at UNICAMP, a large and highly ranked Brazilian university. The university awarded bonus points to targeted applicants (i.e., public high school applicants) on their admission exam, as opposed to imposing a typical quota system. Using a rich set of administrative data from UNICAMP, we assess the effect of this policy on the composition of admitted students, and investigate possible behavioral responses at the extensive (participation) and intensive (preparation effort) margins. We find that the admission probability of public high school applicants, the targeted applicants, significantly increased following the adoption of the affirmative action program. The policy was also associated with sizable redistribution in the composition of admitted students, with a shift towards students from families with lower socio-economic status. Surprisingly, we find little evidence of behavioral reactions to the affirmative action policy, in terms of test performance or application decision
On the road to social mobility? Affirmative action and major choice
Students from disadvantaged backgrounds remain underrepresented in prestigious and high-paying fields of study, such as STEM. While affirmative action (AA) policies have been shown to increase the representation of minority students in selective universities, they may also affect students’ choice of majors, with potential implications for social mobility. We study a policy implemented by a highly selective Brazilian university that expanded the range of majors accessible to lower-SES applicants, using it as a natural experiment. The policy led targeted students to apply to and enroll in more prestigious, higher-paying STEM majors and attenuated the influence of socioeconomic background on major choices. Our findings suggest that in contexts where applicants select their majors before university entry and these choices are influenced by strategic considerations, AA policies can be particularly effective in promoting social mobility
How university admissions can help integrate secondary schools
In recent years, several US states have introduced college admission policies that reward local rather than global relative performance by guaranteeing admission to students graduating in the top N-percent of their high school. This column examines how these policies affected socioeconomic and ethnic segregation at both the university and high school levels in the state of Texas. While the policies did not replicate the level of diversity in universities seen under earlier affirmative action policies, they did lead to a reduction in the overall level of ethnic segregation in high schools
Redistribution without distortion: evidence from an affirmative action program at a large Brazilian university
We examine an innovative affirmative action policy at UNICAMP, a large and highly ranked Brazilian university, designed to enhance access for disadvantaged (public high school) applicants. The university awarded bonus points to targeted applicants in their admission exam. We assess the effect of this policy on the composition of admitted students and investigate possible behavioural responses in terms of exam-preparation effort. We find that the policy significantly increased the admission probability of public high school applicants and redistributed university admission towards applicants from families with lower socio-economic status. Surprisingly, we find little evidence of behavioural reactions regarding exam-preparation effort
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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