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From: "Londa Schiebinger" <schieb@stanford.edu>
To: "genderedinnovations@lists.stanford.edu" <genderedinnovations@lists.stanford.edu>;
Cc:
Sent: 2023-11-16 (목) 05:23:56 (UTC+09:00)
Subject: [Gendered Innovations] research of note!

1. Intersectionality in research, grant-making and human capital development: considerations for public funding agencies in advancing equality, diversity and inclusion
I Lynch, L Fluks, R Essop, N Isaacs, P Majokweni…
Gender inequality remains a challenge in the field of science, technology, and
innovation (STI). While women are increasingly joining science, technology,
engineering, and mathematics (STEM) educational programmes, their …

2. 'Person' == Light-skinned, Western Man, and Sexualization of Women of Color: Stereotypes in Stable Diffusion
S Ghosh, A Caliskan - In Findings of the Association for Computational …, 2023

3. Gender bias and stereotypes in Large Language Models
H Kotek, R Dockum, DQ Sun - arXiv preprint arXiv:2308.14921, 2023
Large Language Models (LLMs) have made substantial progress in the past several
months, shattering state-of-the-art benchmarks in many domains. This paper
investigates LLMs' behavior with respect to gender stereotypes, a known issue for …

4.Gendering data care: curators, care, and computers in data-centric biology
AM Gabrielsen. Science as Culture, 2023•Taylor & Francis. The increase in molecular data and the use of computer technologies in biology have led to the emergence of professional biocurators, who populate biological databases and
knowledgebases with high-quality information. Although crucial to life science knowledge production, biocuration is, to a large extent, invisible labour that takes place behind the scenes of data-centric life science. The field suffers from a lack of
recognition and status that has been linked to a language of service and a scientific system that is not equipped.

5.
Spanish adaptation of the Gender-Related Variables for Health Research (GVHR): Factorial Structure and Relationship with Health Variables. Díaz-Morales, J. F., Esteban-Gonzalo, S., Martín-María, N., & Puig-Navarro, Y. (2023). The Spanish
Journal of Psychology
26, e25.
The aim of the present study was to conduct a preliminary study of the Stanford Gender-Related Variables for Health Research (GVHR) adapted to the Spanish population, testing its factor structure, sex factorial invariance and relationship with
health variables. Participants were 438 adults between 19–73 years old (
M = 31.90, SD = 12.12) who completed the GVHR and measures of health-related quality of life, psychological health, and health-risk behaviors. The confirmatory factorial
analysis of the GVHR indicated an acceptable fit to the 7-factor structure as proposed for the North American population. Emotional intelligence and independence factors had low internal consistency, therefore, a five-factor model was tenable in
the Spanish population. Sex scalar invariance was tenable, indicating that the factors latent means can be meaningfully compared across sex. Univariate logistic regressions indicated that women reported worse mental and physical health and more
health limitations, but this effect dissipated when gender variables were considered. Caregiver and work strain stood out as the variables related to gender that predicted worse health-related quality of life, psychological health, and health-risk
behaviors. In conclusion, factorial structure of the GVHR may differ from one culture to another. Additionally, the variables related to gender in the GVHR give a better account of the differences in health compared to biological sex.

6.
Cruz-Castro, L., & Sanz-Menéndez, L. (2023). Gender bias in funding evaluation: A randomized experiment. Quantitative Science Studies, 4(3), 1–52. https://doi.org/10.1162/qss_a_00263

7.Stable Bias: Evaluating Societal Representations in Diffusion Models
S Luccioni, C Akiki, M Mitchell, Y Jernite - Thirty-seventh Conference on Neural …, 2023
As machine learning-enabled Text-to-Image (TTI) systems are becoming
increasingly prevalent and seeing growing adoption as commercial services,
characterizing the social biases they exhibit is a necessary first step to lowering their …

8.Tools for Gender Mainstreaming in Health and Social-Health Research
RR de Viñaspre Hernández
In 2022, a group of professors, concerned about the lack of inclusion of the gender
perspective in the research we were generating in our Faculty of Health Sciences at
the University of La Rioja, decided to develop a tool, in the form of an “activity-book” …


9.Visualising Medical Knowledge: Photographing Patients in Twentieth-Century Cape Town
M Clark - The Politics of Knowledge in the Biomedical Sciences …, 2023
This chapter outlines how historical clinical photographs produced in South Africa
are shaped by the politics of knowledge surrounding medicine, photography, and
conceptions of racial difference. By addressing the power-dynamics imbedded in an 

10.Performing legitimate choice narratives in physics: possibilities for under-represented physics students
A Johansson, AS Nyström, AJ Gonsalves… - Cultural Studies of Science …, 2023
Higher education physics has long been a field with a disproportionately skewed
representation in terms of gender, class, and ethnicity. Responding to this challenge,
this study explores the trajectories of “unexpected” (ie, demographically under-represented) …\

11.Embracing Sex-specific Differences in Engineered Kidney Models for Enhanced Biological Understanding
CA Veser, AMF Carlier, SM Mihăilă, S Swapnasrita - arXiv preprint arXiv:2308.15264, 2023
In vitro models play a crucial role in advancing our understanding of biological
processes, disease mechanisms, and developing screening platforms for drug
discovery. Kidneys play an instrumental role in transport and elimination of drugs 


All best, Londa 

Londa Schiebinger

Director, EU/US Gendered Innovations in Science, Health & Medicine, Engineering, and Environment Project
http://genderedinnovations.stanford.edu
John L. Hinds Professor of History of Science, Stanford University
http://www.stanford.edu/dept/HPST/schiebinger.html

 

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