MétaCan
Menu
Back to cohort
Record W2106828222 · doi:10.1200/jop.2014.001464

Diversity by Race, Hispanic Ethnicity, and Sex of the United States Medical Oncology Physician Workforce Over the Past Quarter Century

2014· article· en· W2106828222 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Oncology Practice · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicDiversity and Career in Medicine
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineWorkforceEthnic groupQuarter (Canadian coin)Family medicineHealth careDiversity (politics)Cultural competenceDiversification (marketing strategy)Underrepresented MinorityCompetence (human resources)Health equityCultural diversityPatient Protection and Affordable Care ActRace (biology)Health insuranceGerontologyNursingMedical educationEconomic growthPublic healthManagementPolitical science

Abstract

fetched live from OpenAlex

PURPOSE: To assess the medical oncology (MO) physician workforce diversity by race, Hispanic ethnicity, and sex, with attention to trainees. METHODS: Public registries were used to assess 2010 differences among MO practicing physicians, academic faculty, and fellows; internal medicine (IM) residents; and the US population, using binomial tests with P < .001 significance adjusting for multiple comparisons. Significant changes in fellow representation from 1986 to 2011 were assessed. RESULTS: Female representation as MO fellows (45.0%) was significantly increased compared with faculty (22.4%) and practicing physicians (27.4%); was no different than IM residents (44.7%, P = .853); and increased significantly, by 1.0% per year. Women were significantly underrepresented as practicing physicians, faculty, and fellows compared with the US population (50.8%). Traditionally underrepresented minorities in medicine (URM) were significantly underrepresented as practicing physicians (7.8%), faculty (5.7%), and fellows (10.9%), versus US population (30.0%). Hispanic MO fellows (7.5%) were increased compared with faculty (3.9%) and practicing physicians (4.1%); Black fellows (3.1%) were no different than faculty (1.8%, P = .0283) or practicing physicians (3.5%, P = .443). When comparing MO fellows versus IM residents, there were no differences for American Indians/Alaska Natives/Native Hawaiians/Pacific Islanders (0.3%, 0.6%, respectively, P = .137) and Hispanics (7.5%, 8.7%, P = .139), unlike Blacks (3.1%, 5.6%, P < .001). There has been no significant change in URM representation, with negligible changes every 5 years for American Indians/Alaska Natives/Native Hawaiians/Pacific Islanders (-0.1%), Blacks (-0.3%), and Hispanics (0.3%). CONCLUSIONS: Female fellow representation increased 1% per year over the quarter century indicating historical gains, whereas URM diversity remains unchanged. For Blacks alone, representation as MO fellows is decreased compared with IM residents, suggesting greater disparity in MO training.

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)0.007
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.250
Threshold uncertainty score0.778

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.024
GPT teacher head0.339
Teacher spread0.315 · 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