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What’s in a Name? Experimental Evidence of Gender Bias in Recommendation Letters Generated by ChatGPT

What’s in a Name? Experimental Evidence of Gender Bias in Recommendation Letters Generated by ChatGPT

For studies 1 and 2, assuming comparisons between two groups of n=100 each and α of .05, a priori sensitivity analyses for 2-tailed independent sample t tests performed in G*Power indicated a power of 0.8 to detect small to medium effect sizes (Cohen d=0.398). A priori power analyses were not performed for study 3, given its exploratory nature. This study did not involve human subjects research; therefore, no ethical approval was required.

Deanna M Kaplan, Roman Palitsky, Santiago J Arconada Alvarez, Nicole S Pozzo, Morgan N Greenleaf, Ciara A Atkinson, Wilbur A Lam

J Med Internet Res 2024;26:e51837

A Web-Based Intervention to Address Risk Factors for Maternal Morbidity and Mortality (MAMA LOVE): Development and Evaluation Study

A Web-Based Intervention to Address Risk Factors for Maternal Morbidity and Mortality (MAMA LOVE): Development and Evaluation Study

As such, five focus group sessions (n=19) were conducted on the initial prototype with a mix of Black birthing parents (n=3) as well as doulas (n=6), community organization representatives (n=4), and health care providers (n=6) to assess initial impressions of the tool and to validate the concept. A rapid analysis of the focus group sessions was conducted to quickly identify key areas for feedback and revision of the tool [36]. The Emory University Institutional Review Board approved the study.

Alexis Dunn Amore, Abby Britt, Santiago J Arconada Alvarez, Morgan N Greenleaf

JMIR Pediatr Parent 2023;6:e44615

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