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Record W2141323633 · doi:10.1177/1359105304040886

Community Health Psychology: Promoting Analysis and Action for Social Change

2004· review· en· W2141323633 on OpenAlexaff
Catherine Campbell, Michael Murray

Bibliographic record

VenueJournal of Health Psychology · 2004
Typereview
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsCommunity psychologyFraming (construction)Action (physics)Health psychologyCommunity healthSocial determinants of healthValue (mathematics)Public relationsSocial psychologyPsychologySociologyPublic healthMedicinePolitical scienceNursing

Abstract

fetched live from OpenAlex

Community health psychology is concerned with the theory and method of working with communities to combat disease and to promote health. This introductory article outlines key assumptions and debates underlying this area of research and practice-in the interests of framing the papers in this special edition of the Journal of Health Psychology. Attention is given to the value of emphasizing the community level of analysis and action; the role of collective action in improving health; psycho-social mediatiors between community participation and health; and the potential role of partnerships in creating 'healthy communities'. A distinction is made between 'accommodationist' and 'critical' perspectives, and the authors consider whether or not significant social change can come from community-level action.

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)0.007
metaresearch head score (Gemma)0.007
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: Review · Consensus signal: Review
Teacher disagreement score0.007
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0060.007
Science and technology studies0.0020.012
Scholarly communication0.0070.008
Open science0.0020.004
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.0030.002

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 head0.702
GPT teacher head0.700
Teacher spread0.002 · 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
GenreReview

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

Citations207
Published2004
Admission routes1
Has abstractyes

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