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Record W2422046213 · doi:10.1097/acm.0000000000001281

Women in Academic Medicine Leadership: Has Anything Changed in 25 Years?

2016· article· en· W2422046213 on OpenAlex

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAcademic Medicine · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicDiversity and Career in Medicine
Canadian institutionsUniversity of TorontoWomen's College Hospital
Fundersnot available
KeywordsAcademic medicinePromotion (chess)Affect (linguistics)Face (sociological concept)Medical educationPsychologyPublic relationsPolitical scienceMedicineSociologySocial sciencePoliticsLaw

Abstract

fetched live from OpenAlex

Over the past 25 years, the number of women graduating from medical schools in the United States and Canada has increased dramatically to the point where roughly equal numbers of men and women are graduating each year. Despite this growth, women continue to face challenges in moving into academic leadership positions. In this Commentary, the authors share lessons learned from their own careers relevant to women's careers in academic medicine, including aspects of leadership, recruitment, editorship, promotion, and work-life balance. They provide brief synopses of current literature on the personal and social forces that affect women's participation in academic leadership roles. They are persuaded that a deeper understanding of these realities can help create an environment in academic medicine that is generally more supportive of women's participation, and that specifically encourages women in medicine to take on academic leadership positions.

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)0.013
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.338
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.237
GPT teacher head0.359
Teacher spread0.122 · 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