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The Value and Challenges of Participatory Research: Strengthening Its Practice

2008· review· en· W2134823012 on OpenAlexaff
Margaret Cargo, Shawna L. Mercer

Bibliographic record

VenueAnnual Review of Public Health · 2008
Typereview
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsMcGill UniversityDouglas Mental Health University Institute
Fundersnot available
KeywordsBridging (networking)Context (archaeology)Participatory action researchPublic healthCitizen journalismPublic relationsMedicinePolitical scienceEngineering ethicsSociologyNursingComputer scienceEngineering

Abstract

fetched live from OpenAlex

The increasing use of participatory research (PR) approaches to address pressing public health issues reflects PR's potential for bridging gaps between research and practice, addressing social and environmental justice and enabling people to gain control over determinants of their health. Our critical review of the PR literature culminates in the development of an integrative practice framework that features five essential domains and provides a structured process for developing and maintaining PR partnerships, designing and implementing PR efforts, and evaluating the intermediate and long-term outcomes of descriptive, etiological, and intervention PR studies. We review the empirical and nonempirical literature in the context of this practice framework to distill the key challenges and added value of PR. Advances to the practice of PR over the next decade will require establishing the effectiveness of PR in achieving health outcomes and linking PR practices, processes, and core elements to health outcomes.

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)0.608
metaresearch head score (Gemma)0.489
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: Methods
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.392
Threshold uncertainty score0.483

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.6080.489
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0090.002
Bibliometrics0.0150.015
Science and technology studies0.0130.132
Scholarly communication0.0390.043
Open science0.0120.030
Research integrity0.0180.028
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 head0.955
GPT teacher head0.773
Teacher spread0.182 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
DomainMethods
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

Citations1,456
Published2008
Admission routes1
Has abstractyes

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