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Record W2127135250 · doi:10.1177/1359105304040888

Partnerships and Participation of Community Residents in Health Promotion and Prevention: Experiences of the Highfield Community Enrichment Project (Better Beginnings, Better Futures)

2004· review· en· W2127135250 on OpenAlexaffabout
Geoffrey Nelson, S. Mark Pancer, Karen Hayward, Rick Kelly

Bibliographic record

VenueJournal of Health Psychology · 2004
Typereview
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsGeorge Brown CollegeRegent Park Community Health CentreWilfrid Laurier University
Fundersnot available
KeywordsFutures contractGeneral partnershipPromotion (chess)Health promotionEmpowermentContext (archaeology)Public relationsEconomic growthBusinessPolitical scienceNursingMedicinePublic healthEconomics

Abstract

fetched live from OpenAlex

We provide a description and analysis of the role of partnerships between community residents and service-providers in planning and implementing a health promotion/prevention programme for children and families. The context for this study is the Highfield Community Enrichment Project, a multi-component, community-based promotion/prevention project operating in Toronto, Ontario, Canada. The nature and amount of resident participation in this project are described, as well as barriers to resident participation and strategies to reduce those barriers. The findings are interpreted in terms of empowerment and partnership theory, and the implications of these findings for involving citizens from low-income communities in planning promotion/prevention programmes are discussed.

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)0.003
metaresearch head score (Gemma)0.003
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: Review · Consensus signal: Review
Teacher disagreement score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.432
GPT teacher head0.584
Teacher spread0.152 · 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
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

Citations29
Published2004
Admission routes2
Has abstractyes

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