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Record W7135481122

Health Promotion in Medical Education: From Rhetoric to Action

2010· article· en· W7135481122 on OpenAlexaff
Ann Wylie, Tangerine Ann Holt

Bibliographic record

VenueResearch Portal (King's College London) · 2010
Typearticle
Languageen
FieldHealth Professions
TopicSchool Health and Nursing Education
Canadian institutionsInstitute of Population and Public Health
Fundersnot available
KeywordsHealth promotionRedressAction (physics)RhetoricHealth educationPublic healthScope (computer science)
DOInot available

Abstract

fetched live from OpenAlex

Health promotion has been a relatively overlooked area in modern medical and health professional vocational curricula. This practical and informative book aims to redress the balance towards health promotion being a visible, integrated curricular component, with agreed principles on quality in health promotion teaching across various faculties. Experienced and enthusiastic writers with expertise in health promotion, public health and medical education explore how curricular structures can accommodate the discipline, providing examples of teaching sessions and methods of teaching health promotion within integrated curricula. 'Do not fear another dry discussion of how to stop patients smoking! This book takes a stimulatingly lateral view of the scope of the subject, goes a very long way to showing why it is essential to medical education, and gives good advice on how to support and develop both the subject and its tutors in today's medical schools.' From the Foreword by Amanda Howe.

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)0.033
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.033
Threshold uncertainty score0.174

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0330.046
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0120.071
Scholarly communication0.0210.021
Open science0.0030.010
Research integrity0.0150.027
Insufficient payload (model declined to judge)0.0040.002

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 head0.139
GPT teacher head0.550
Teacher spread0.411 · 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 designTheoretical or conceptual
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

Citations0
Published2010
Admission routes1
Has abstractyes

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