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Record W2129831868 · doi:10.3122/jabfm.18.3.223

An Enhanced Obstetrics Track for a Family Practice Residency Program: Results from the First 6 Years

2005· article· en· W2129831868 on OpenAlexaff
W. Suzanne Eidson-Ton, James Nuovo, Bruno Solís, K. Ewing, Heber Silva-Díaz, Lloyd H. Smith

Bibliographic record

VenueThe Journal of the American Board of Family Medicine · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicDiversity and Career in Medicine
Canadian institutionsCentre for Family Medicine
Fundersnot available
KeywordsMedicineObstetrics and gynaecologyResidency trainingFamily medicineObstetricsMedical educationPregnancyContinuing education

Abstract

fetched live from OpenAlex

BACKGROUND: Advanced training in obstetrics for family physicians occurs through a variety of methods. The program described has developed an obstetrics track for family practice residents. METHODS: Five residents have completed the 4-year residency program with enhanced obstetric training developed, and the results, in terms of procedural experience and examination scores, have been reviewed. RESULTS: These 5 family physicians performed a similar number of obstetric procedures compared with their Obstetrics and Gynecology resident counterparts, and they performed as well as their family medicine resident counterparts on national in-service examinations. CONCLUSIONS: A 4-year enhanced obstetrics track is an effective means of improving the training of family medicine residents in obstetric procedures while maintaining the other fundamental training and residency review committee requirements for family medicine residents.

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)0.006
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.389
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.011
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 science0.0020.000
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 head0.058
GPT teacher head0.363
Teacher spread0.305 · 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.

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

Citations11
Published2005
Admission routes1
Has abstractyes

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