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Record W2604798548

Debiasing the hidden curriculum

2011· article· en· W2604798548 on OpenAlexvenueaboutno aff
Wayne Woloschuk, Bruce Wright, Kevin McLaughlin

Bibliographic record

VenueCanadian Family Physician · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicDiversity and Career in Medicine
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumFamily medicineMedicineMultivariate analysis of varianceMedical schoolMedical educationMultivariate analysisPrimary careMEDLINEPsychologyInternal medicinePedagogyComputer science
DOInot available

Abstract

fetched live from OpenAlex

Abstract Objective To compare the academic performance of students who entered family medicine residency programs with that of students who entered other disciplines and discern whether or not family physicians are as academically talented as their colleagues in other specialties. Design Retrospective quantitative study. Setting University of Calgary in Alberta. Participants Three graduating classes of students (2004 to 2006) from the University of Calgary medical school. Main outcome measures Student performance on various undergraduate certifying examinations in years 1, 2, and 3, along with third-year in-training evaluation reports and total score on the Medical Council of Canada Qualifying Examination Part I. Results Complete data were available for 99% of graduates (N = 295). In the analysis, residency program (family medicine [n = 96] versus non–family medicine [n = 199]) served as the independent variable. Using a 1-way multivariate ANOVA (analysis of variance), no significant difference among any of the mean performance scores was observed ( F 5289 = 1.73, P > .05). Students who entered family medicine were also well represented within the top 10 rankings of the various performance measures. Conclusion The academic performance of students who pursued careers in family medicine did not differ from that of students who chose other specialties. Unfounded negativity toward family medicine has important societal implications, especially at a time when the gap between the number of family physicians and patients seeking primary care services appears to be widening.

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.918
Threshold uncertainty score0.720

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.045
GPT teacher head0.243
Teacher spread0.198 · 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 designNot applicable
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

Citations3
Published2011
Admission routes2
Has abstractyes

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