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Women and Minorities in Orthopaedic Residency Programs

2007· article· en· W2323824504 on OpenAlexaff
Kimberly Templeton, Jamaica V. Wood, Richard Haynes

Bibliographic record

VenueJournal of the American Academy of Orthopaedic Surgeons · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicDiversity and Career in Medicine
Canadian institutionsObject Research Systems (Canada)
Fundersnot available
KeywordsMedicineUnderrepresented MinorityEthnic groupResidency trainingMedical schoolFamily medicineRacial differencesMedical educationOrthopedic surgeryUnited States Medical Licensing ExaminationGerontologySurgeryContinuing education

Abstract

fetched live from OpenAlex

Women and underrepresented minorities make up smaller proportions of orthopaedic residency programs than their numbers in medical school would predict, according to our evaluation of self-reported orthopaedic residency data from 1998 and 2001, as well as information on medical students published in 2002. Based on race, ethnicity, and sex, comparisons were made between students entering and graduating from medical school and those in orthopaedic residency programs. With few exceptions, the percentages of women and underrepresented minorities were statistically significantly lower among those training in orthopaedic residency programs compared with those same groups entering and graduating from medical school. The percentage of women and minorities in orthopaedic residency programs remained constant between 1998 and 2001. Further study is necessary to determine whether fewer students of color and women apply to orthopaedic residency programs because of lack of interest, lack of appropriate mentoring and role models, or other factors.

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.

How this classification was reachedexpand

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)0.009
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.083
Threshold uncertainty score0.941

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.028
GPT teacher head0.303
Teacher spread0.275 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations52
Published2007
Admission routes1
Has abstractyes

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