Race and Gender Bias in Three Administrative Contexts: Impact on Work Assignments in State Supreme Courts

2012 ◽  
Vol 22 (4) ◽  
pp. 625-648 ◽  
Author(s):  
Robert K Christensen ◽  
John Szmer ◽  
Justin M Stritch
2018 ◽  
Author(s):  
Patrick S. Forscher ◽  
William Taylor Laimaka Cox ◽  
Markus Brauer ◽  
Patricia G. Devine

Many granting agencies allow reviewers to know the identity of a proposal’s Principal Investigator (PI), which opens the possibility that reviewers discriminate on the basis of PI race and gender. We investigated this experimentally with 48 NIH R01 grant proposals, representing a broad spectrum of NIH-funded science. We modified PI names to create separate White male, White female, Black male, and Black female versions of each proposal, and 412 scientists each submitted initial reviews for three proposals. We find little to no race or gender bias in initial R01 evaluations, and additionally find that any bias that might have been present must be negligible in size. This conclusion was robust to a wide array of statistical model specifications. Pragmatically important bias may be present in other aspects of the granting process, but our evidence suggests that it is not present in the initial round of R01 reviews.


Author(s):  
Brad N. Greenwood ◽  
Idris Adjerid ◽  
Corey M. Angst

Author(s):  
Hans Bauer ◽  
Fikirte Gebresenbet ◽  
Martial Kiki ◽  
Lynne Simpson ◽  
Claudio Sillero-Zubiri

Author(s):  
Garry Gray

Tensions across disciplines and methodologies over what constitutes appropriate academic voice in writing is far from arbitrary and instead is rooted in competing notions of epistemology, representation, and science. In this paper, I examine these tensions as well as address current issues affecting academic voice such as gender bias and the rise of social media. I begin by discussing reflexivity in research and then turn to the ways in which personal-reflexive voice has been hidden and revealed by academic writers. I also illustrate how the commercialization of academic science intersects with the use of distant-authoritative voice in sometimes corrupting ways. I examine variations in academic voice as they relate to issues of researcher emotion, class, race, and gender. Finally, I discuss the scientization of qualitative research and resulting increased interaction between scholars of varying epistemological positions which I argue can increase attention to the epistemological underpinnings of academic voice.


Author(s):  
Neil Zhang ◽  
Sarah Blissett ◽  
David Anderson ◽  
Patricia O'Sullivan ◽  
Atif Qasim

ABSTRACT Background While program director (PD) letters of recommendation (LOR) are subject to bias, especially against those underrepresented in medicine, these letters are one of the most important factors in fellowship selection. Bias manifests in LOR in a number of ways, including biased use of agentic and communal terms, doubt raising language, and description of career trajectory. To reduce bias, specialty organizations have recommended standardized PD LOR. Objective This study examined PD LOR for applicants to a cardiology fellowship program to determine the mechanism of how bias is expressed and whether the 2017 Alliance for Academic Internal Medicine (AAIM) guidelines reduce bias. Methods Fifty-six LOR from applicants selected to interview at a cardiology fellowship during the 2019 and 2020 application cycles were selected using convenience sampling. LOR for underrepresented (Black, Latinx, women) and non-underrepresented applicants were analyzed using directed qualitative content analysis. Two coders used an iteratively refined codebook to code the transcripts. Data were analyzed using outputs from these codes, analytical memos were maintained, and themes summarized. Results With AAIM guidelines, there appeared to be reduced use of communal language for underrepresented applicants, which may represent less bias. However, in both LOR adherent and not adherent to the guidelines, underrepresented applicants were still more likely to be described using communal language, doubt raising language, and career trajectory bias. Conclusions PDs used language in a biased way to describe underrepresented applicants in LOR. The AAIM guidelines reduced but did not eliminate this bias. We provide recommendations to PDs and the AAIM on how to continue to work to reduce this bias.


1990 ◽  
Vol 19 (3) ◽  
pp. 378-383 ◽  
Author(s):  
Steven R. Shaw ◽  
Jeffery P. Braden

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