Zobrazeno 1 - 10
of 10
pro vyhledávání: '"C. Malik Boykin"'
Publikováno v:
PLoS ONE, Vol 14, Iss 1, p e0210698 (2019)
Boutwell, Nedelec, Winegard, Shackelford, Beaver, Vaughn, Barnes, & Wright (2017) published an article in this journal that interprets data from the Add Health dataset as showing that only one-quarter of individuals in the United States experience di
Externí odkaz:
https://doaj.org/article/69edd0904031475f936812b98c3142fe
Publikováno v:
PLoS ONE, Vol 13, Iss 4, p e0194123 (2018)
Research suggests that interracial mentoring relationships are strained by negative affect and low rapport. As such, it stands to reason that strategies that decrease negative affect and increase rapport should improve these relationships. However, p
Externí odkaz:
https://doaj.org/article/da3c0930b6f0452d9492c8452619baa4
Publikováno v:
Academy of Management Proceedings. 2022
Autor:
C. Malik Boykin
Publikováno v:
Perspectives on psychological science : a journal of the Association for Psychological Science.
This is a Lewinian-field-theory approach to understanding the Graduate Record Examination (GRE) in the context of racism to contribute to the debate about whether graduate schools should remove GRE scores from admissions processes. Woo and colleagues
Publikováno v:
TMS Proceedings 2021.
Autor:
Alexis Nicole Smith, Kristin Dukes, Mikki Hebl, Cordy A. McJunkins, Ashley Membere, James T. Carter, N. Derek Brown, Cortney Simmons, Dorainne J. Green, Timothy Harrison, Asia T. McCleary-Gaddy, Amber D. Williams, Sarah Singletary Walker, C. Malik Boykin
Publikováno v:
Equality, Diversity and Inclusion: An International Journal. 39:775-786
PurposeThe current piece summarizes five critical points about racism from the point of view of Black scholars and allies: (1) Black people are experiencing exhaustion from and physiological effects of racism, (2) racism extends far beyond police bru
Autor:
C. Malik Boykin, Sarah M. Brown, Sophia T. Dasch, Taiwo A. Togun, Vincent Rice, Venkat R. Lakshminarayanan
Publikováno v:
EAAMO
As machine learning (ML) is deployed in high-stakes domains, such as disease diagnosis or prison sentencing, questions of fairness have become an area of concern in its development. This interest has produced a variety of statistical fairness definit
Autor:
C. Malik Boykin, Christine R. Smith
Publikováno v:
Personnel Assessment and Decisions, Vol 5, Iss 2 (2019)
Akademický článek
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