Do Masculine Names Help Female Lawyers Become Judges? Evidence from South Carolina

Coffey, Bentley; McLaughlin, Patrick A.

doi:10.1093/aler/ahp008

Cited by 28 publications

(12 citation statements)

References 8 publications

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“…Those perceptions reduce the likelihood of additional followers. This indicates a slight discrimination of women on Twitter, probably comparable to those found by Coffey and McLaughlin [9] in legal careers. Our data allow no comparison with the findings about distinctively black names; however, we have some information about names that are perceived as bad or rough (with a decreasing effect) and names that are perceived as strange or unintellectual (with an increasing effect).…”

Section: Discussionsupporting

confidence: 78%

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Predicting Rising Follower Counts on Twitter Using Profile Information

Mueller

Stumme

2017

Proceedings of the 2017 ACM on Web Science Conference

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When evaluating the cause of one's popularity on Twitter, one thing is considered to be the main driver: Many tweets. There is debate about the kind of tweet one should publish, but little beyond tweets. Of particular interest is the information provided by each Twitter user's profile page. One of the features are the given names on those profiles. Studies on psychology and economics identified correlations of the first name to, e.g., one's school marks or chances of getting a job interview in the US. Therefore, we are interested in the influence of those profile information on the follower count. We addressed this question by analyzing the profiles of about 6 Million Twitter users. All profiles are separated into three groups: Users that have a first name, English words, or neither of both in their name field. The assumption is that names and words influence the discoverability of a user and subsequently his/her follower count. We propose a classifier that labels users who will increase their follower count within a month by applying different models based on the user's group. The classifiers are evaluated with the area under the receiver operator curve score and achieves a score above 0.800.

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Section: Discussionsupporting

confidence: 78%

“…Coffey and McLaughlin [9] have done a similar study where they conducted an empirical test with the hypothesis of whether masculine names help women to be successful in legal careers. The masculinity of a name was modeled by computing the share of men that use a given female name as well per South Carolina's voter registration dataset.…”

Section: Related Workmentioning

confidence: 99%

Predicting Rising Follower Counts on Twitter Using Profile Information

Mueller

Stumme

2017

Proceedings of the 2017 ACM on Web Science Conference

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“…For example, economists analyzing auditions for orchestras found that switching to blind auditions in which juries could not see applicants reduced discrimination against women, explaining one-third of the increase in the proportion of women hired after blind auditions (12). Other examples of discrimination in nonmath fields are similarly striking, e.g., correlations between masculineness of women's first names and likelihood of being awarded judgeships (13), downgrading of psychologists' and sociologists' curriculum vitae when they bear a woman's name (14,15), or discriminatory pay for female attorneys (16). This evidence from nonmath fields raises the specter that similar biases explain the current dearth of women in mathintensive fields.…”

Section: Claims Of Discrimination Against Women Scientistsmentioning

confidence: 99%

Understanding current causes of women's underrepresentation in science

Ceci

Williams

2011

Proc. Natl. Acad. Sci. U.S.A.

871

695

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Explanations for women's underrepresentation in math-intensive fields of science often focus on sex discrimination in grant and manuscript reviewing, interviewing, and hiring. Claims that women scientists suffer discrimination in these arenas rest on a set of studies undergirding policies and programs aimed at remediation. More recent and robust empiricism, however, fails to support assertions of discrimination in these domains. To better understand women's underrepresentation in math-intensive fields and its causes, we reprise claims of discrimination and their evidentiary bases. Based on a review of the past 20 y of data, we suggest that some of these claims are no longer valid and, if uncritically accepted as current causes of women's lack of progress, can delay or prevent understanding of contemporary determinants of women's underrepresentation. We conclude that differential gendered outcomes in the real world result from differences in resources attributable to choices, whether free or constrained, and that such choices could be influenced and better informed through education if resources were so directed. Thus, the ongoing focus on sex discrimination in reviewing, interviewing, and hiring represents costly, misplaced effort: Society is engaged in the present in solving problems of the past, rather than in addressing meaningful limitations deterring women's participation in science, technology, engineering, and mathematics careers today. Addressing today's causes of underrepresentation requires focusing on education and policy changes that will make institutions responsive to differing biological realities of the sexes. Finally, we suggest potential avenues of intervention to increase gender fairness that accord with current, as opposed to historical, findings.women in science | gender bias | child penalty | peer review S ince 1970, women have made dramatic gains in science. Today, half of all MD degrees and 52% of PhDs in life sciences are awarded to women, as are 57% of PhDs in social sciences, 71% of PhDs to psychologists, and 77% of DVMs to veterinarians.* Forty years ago, women's presence in most of these fields was several orders of magnitude less; e.g., in 1970 only 13% of PhDs in life sciences went to women (1). In the most mathintensive fields, however, women's growth has been less pronounced (2-4). Among the top 100 US universities, only 8.8-15.8% of tenure-track positions in many math-intensive fields (combined across ranks) are held by women, and female full professors number ≤10%. (SI Text, S1)These figures reveal a problem, but what is its cause? Here, we consider one of the most common alleged causes-discrimination against women in the domains of: (i) manuscript reviewing, (ii) grant funding, and (iii) interviewing/hiring. We reprise the evidence for each and describe counterevidence. We conclude that past initiatives to combat discrimination against women in science appear to have been highly successful. Women's current underrepresentation in math-intensive fields is not caused by discrimin...

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“…One line of research focuses on names and outcomes. For instance, social psychologists have explored the interrelationships among names, cognition, and personal life outcomes (Christopher, 1998;Coffey & McLaughlin, 2009;Kalist & Yee, 2009;Mehrabian, 1997Mehrabian, , 2001Mehrabian & Piercy, 1993). Meanwhile, economists have investigated the relationship between names and economic outcomes (Aura & Hess, 2010).…”

Section: Research On Namingmentioning

confidence: 99%

Negotiating Identity and Pragmatism: Parental Treatment of International Adoptees' Birth Culture Names

Suter¹

2012

Journal of Family Communication

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Do Masculine Names Help Female Lawyers Become Judges? Evidence from South Carolina

Cited by 28 publications

References 8 publications

Predicting Rising Follower Counts on Twitter Using Profile Information

Predicting Rising Follower Counts on Twitter Using Profile Information

Understanding current causes of women's underrepresentation in science

Negotiating Identity and Pragmatism: Parental Treatment of International Adoptees' Birth Culture Names

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