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Record W7074162369

Community engagement in US and Canadian medical schools

2011· other· en· W7074162369 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2011
Typeother
Languageen
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsScholarshipPromotion (chess)Public engagementAccreditationCommunity engagementService (business)Health promotion
DOInot available

Abstract

fetched live from OpenAlex

Adam O Goldstein, Rachel Sobel BearmanDepartment of Family Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, USAIntroduction: This study examines the integration of community engagement and community-engaged scholarship at all accredited US and Canadian medical schools in order to better understand and assess their current state of engagement.Methods: A 32-question data abstraction instrument measured the role of community engagement and community-engaged scholarship as represented on the Web sites of all accredited US and Canadian medical schools. The instrument targeted a medical school's mission and vision statements, institutional structure, student and faculty awards and honors, and faculty tenure and promotion guidelines.Results: Medical school Web sites demonstrate little evidence that schools incorporate community engagement in their mission or vision statements or their promotion and tenure guidelines. The majority of medical schools do not include community service terms and/or descriptive language in their mission statements, and only 8.5% of medical schools incorporate community service and engagement as a primary or major criterion in promotion and tenure guidelines.Discussion: This research highlights significant gaps in the integration of community engagement or community-engaged scholarship into medical school mission and vision statements, promotion and tenure guidelines, and service administrative structures.Keywords: medical school, education, community service, mission, tenure, engagement

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.807
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0810.000

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 head0.316
GPT teacher head0.529
Teacher spread0.213 · 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 designObservational
Domainnot available
GenreOther

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

Citations4
Published2011
Admission routes1
Has abstractyes

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