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Uncovering the Benefits of Participatory Research: Implications of a Realist Review for Health Research and Practice

2012· review· en· W1589185784 on OpenAlexaff
Justin Jagosh, Ann C. Macaulay, Pierre Pluye, Jon Salsberg, Paula Louise Bush, Jim Henderson, Erin Sirett, Geoff Wong, Margaret Cargo, Carol P. Herbert, Sarena D. Seifer, Lawrence W. Green, Trisha Greenhalgh

Bibliographic record

VenueMilbank Quarterly · 2012
Typereview
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsWestern UniversityMcGill University
FundersNational Institute for Health and Care Research
KeywordsGeneral partnershipParticipatory action researchStakeholderContext (archaeology)NegotiationScholarshipCompetence (human resources)Public relationsKnowledge managementPsychologyPolitical scienceMedical educationSociologyMedicineComputer scienceSocial psychologySocial science

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.667
metaresearch head score (Gemma)0.815
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: Methods
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.333
Threshold uncertainty score0.410

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.6670.815
Meta-epidemiology (narrow)0.0020.004
Meta-epidemiology (broad)0.0080.007
Bibliometrics0.0320.022
Science and technology studies0.0100.044
Scholarly communication0.0330.059
Open science0.0110.019
Research integrity0.0190.015
Insufficient payload (model declined to judge)0.0040.001

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 head0.966
GPT teacher head0.789
Teacher spread0.177 · 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 designSystematic review
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

Citations1,277
Published2012
Admission routes1
Has abstractyes

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