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Record W1999633953 · doi:10.1093/heapro/17.1.89

Role of knowledge in public health and health promotion policy change

2002· article· en· W1999633953 on OpenAlexaff
Toba Bryant

Bibliographic record

VenueHealth Promotion International · 2002
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHealth promotionPremiseHealth policyPublic healthProcess (computing)Promotion (chess)Public policyPublic relationsSociology of scientific knowledgePublic health policyPolitical scienceKnowledge managementSociologyMedicineNursingComputer scienceSocial scienceEpistemology

Abstract

fetched live from OpenAlex

A framework of policy development is presented that identifies the role various forms of knowledge can play in the policy formation process. The framework is based upon the premise that public health and health promotion issues should be addressed within an analysis of policy change that considers concepts of interactive and critical knowledge in addition to scientific knowledge. Progress in developing meaningful health policy will require accepting the validity of these various forms of knowledge and developing frameworks that see experts and citizens working together to develop and achieve public health and health promotion goals.

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)0.136
metaresearch head score (Gemma)0.125
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 score0.136
Threshold uncertainty score0.720

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1360.125
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0100.007
Science and technology studies0.0180.116
Scholarly communication0.0420.043
Open science0.0060.027
Research integrity0.0240.015
Insufficient payload (model declined to judge)0.0080.001

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 head0.792
GPT teacher head0.666
Teacher spread0.126 · 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

Citations144
Published2002
Admission routes1
Has abstractyes

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