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Record W4398761503 · doi:10.36834/cmej.78911

Educational approaches for social accountability in health professions training: a scoping review protocol

2024· review· en· W4398761503 on OpenAlexaffvenueabout
Marco Zaccagnini, Erin Cameron, Roger Strasser, Saleem Razack, Tim Dubé

Bibliographic record

VenueCanadian Medical Education Journal · 2024
Typereview
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsUniversité de SherbrookeBC Children's HospitalNOSM UniversityUniversity of British ColumbiaMcGill UniversityCentre for Interdisciplinary Research in Rehabilitation
Fundersnot available
KeywordsAccountabilityProtocol (science)Training (meteorology)Computer scienceMedical educationKnowledge managementMedicineAlternative medicinePolitical scienceGeography

Abstract

fetched live from OpenAlex

éducatives liées à la responsabilité sociale dans la formation en santé : un protocole d'une étude de portée

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.166
metaresearch head score (Gemma)0.180
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.166
Threshold uncertainty score0.880

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1660.180
Meta-epidemiology (narrow)0.0040.005
Meta-epidemiology (broad)0.0090.014
Bibliometrics0.0190.016
Science and technology studies0.0070.007
Scholarly communication0.0080.008
Open science0.0050.009
Research integrity0.0090.008
Insufficient payload (model declined to judge)0.0630.013

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 head0.312
GPT teacher head0.616
Teacher spread0.304 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreProtocol

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
Published2024
Admission routes3
Has abstractyes

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