MétaCan
Menu
Back to cohort
Record W3118354250 · doi:10.5539/hes.v11n1p114

Socially Accountable Medical Education: Our Story Might Not Be Yours

2021· article· en· W3118354250 on OpenAlexaffvenue
Brian Ross, Erin Cameron

Bibliographic record

VenueHigher Education Studies · 2021
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsNOSM UniversityLakehead University
Fundersnot available
KeywordsAccountabilityPublic relationsSocial accountingSociologyNarrativePower (physics)Health carePolitical sciencePedagogyMedical educationMedicineBusiness

Abstract

fetched live from OpenAlex

Socially Accountable Medical Education is a global educational movement transforming the development and delivery of medical schools in higher education. It is described as an upstream policy approach that seeks to align medical education and local community healthcare needs. To better understand social accountability as a policy initiative, we conducted a narrative review to identify key themes in the literature around frameworks of implementation. Our findings illustrate that social accountability has been mostly defined to date in terms of outcomes and related-actions and that there is a lack of focus on critical social constructs, such as power and place, that can reorient processes and inequities within health systems and educational institutions. We conclude that while socially accountable medical education is a promising paradigm shift in higher education, we call for a more complexified, contextualized, and nuanced approach.

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)0.016
metaresearch head score (Gemma)0.046
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.046
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0140.029
Scholarly communication0.0100.022
Open science0.0020.010
Research integrity0.0120.026
Insufficient payload (model declined to judge)0.0070.002

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 head0.068
GPT teacher head0.443
Teacher spread0.375 · 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 designQualitative
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

Citations14
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueHigher Education StudiesSame topicInnovations in Medical EducationFrench-language works237,207