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Record W3024537245 · doi:10.1119/1.5145532

Lessons from Research Exploring the Underrepresentation of Women in Physics

2020· article· en· W3024537245 on OpenAlex
Chris Gosling, Allison J. Gonsalves

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Physics Teacher · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicCareer Development and Diversity
Canadian institutionsMcGill University
Fundersnot available
KeywordsPhysics educationHistory of physicsFraming (construction)Higher educationMathematics educationPhysicsPsychologyTheoretical physicsPolitical scienceEngineering

Abstract

fetched live from OpenAlex

Despite decades of research into the gender disparity in physics education and physics practice, the underrepresentation of women in physics persists today. In physics education research, this gender disparity has been constructed as problematic, and numerous approaches from a variety of perspectives have been taken to both research and address it. In this paper, we explore the framings that have been used to motivate study of the underrepresentation of women in physics and the implications these framings have for introductory physics educators. We wish to acknowledge in the framing of this paper that the use of the term “underrepresentation” has prompted a specific characterization of the issues women face in physics (one of low numbers) and the responses (attempts to increase numbers). As its use is pervasive in the research into sex, gender, and physics, we continue here with the term underrepresentation, but suggest that “minoritization” might more appropriately signal the history of structural and institutional actions in physics cultures that have limited access for White and racialized women.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.306
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.541
GPT teacher head0.430
Teacher spread0.110 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it