The emergence and reduction of bias in letters of recommendation

2013 ◽  
Vol 43 (11) ◽  
pp. 2297-2306 ◽  
Author(s):  
Whitney Botsford Morgan ◽  
Katherine B. Elder ◽  
Eden B. King
Keyword(s):  
Emergence And Reduction ◽  
Letters Of Recommendation

Intersectionality Affects Evaluation: Analyzing Adjectives in Letters of Recommendation

2014 ◽  
Author(s):  
Eden-Renee Hayes ◽  
Nina Channing ◽  
Demi Deriggs ◽  
Joseph Lisle ◽  
Sarena Martinez
Keyword(s):  
Letters Of Recommendation

Letters of Recommendation: A Guide for Students and Professors

2002 ◽  
Vol 6 (2) ◽  
pp. 52-53
Author(s):  
Joseph J. Palladino ◽  
Mitchell M. Handelsman
Keyword(s):  
Letters Of Recommendation

Don't Judge a Letter by its Title: Linguistic Analysis of Letters of Recommendation by Author's Academic Rank

2021 ◽  
Author(s):  
Amy Y. Han ◽  
Judith C. French ◽  
Chao Tu ◽  
Derrick Obiri-Yeboah ◽  
Jeremy M. Lipman ◽  
...  
Keyword(s):  
Linguistic Analysis ◽  
Academic Rank ◽  
Letters Of Recommendation

Stewart-Williams and Halsey argue persuasively that gender bias is just one of many causes of women’s underrepresentation in science

2021 ◽  
Vol 35 (1) ◽  
pp. 40-44
Author(s):  
Stephen J Ceci ◽  
Shulamit Kahn ◽  
Wendy M Williams
Keyword(s):  
Gender Bias ◽  
Spatial Abilities ◽  
Sociocultural Factors ◽  
Gender Gaps ◽  
Teaching Evaluations ◽  
Evolutionary Origins ◽  
Funding Success ◽  
Acceptance Rates ◽  
Recent Synthesis ◽  
Letters Of Recommendation

Stewart-Williams and Halsey provide an unusually broad synthesis of the enormous literature on gender gaps in hiring, letters of recommendation, mathematical and spatial abilities, email appointment-making, people vs things orientation, within-gender variability, salaries, occupational preferences, and employment discrimination. They argue that sociocultural factors, while important, cannot by themselves account for the entirety of these gaps. In addition, they argue that factors resulting from evolutionary origins, cognitive ability gaps at the extreme right tail of the distribution, and underlying gender differences in abilities, preferences, and values are needed to explain why women are less well represented in the most math-intensive fields. In our commentary, we reprise our own recent synthesis (unpublished) of gender gaps in six domains (letters of recommendation, academic hiring, salaries, teaching evaluations, journal acceptance rates, grant funding success) and put our results in the context of these authors' arguments.

scholarly journals Linguistic Biases in Letters of Recommendation for Radiation Oncology Residency Applicants from 2015 to 2019

2020 ◽  
Author(s):  
Bhavana V. Chapman ◽  
Michael K. Rooney ◽  
Ethan B. Ludmir ◽  
Denise De La Cruz ◽  
Abigail Salcedo ◽  
...  
Keyword(s):  
Radiation Oncology ◽  
Letters Of Recommendation
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