MétaCan
Menu
Back to cohort
Record W2969845001 · doi:10.1002/jcop.22231

A scoping review: The utility of participatory research approaches in psychology

2019· article· en· W2969845001 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Community Psychology · 2019
Typearticle
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsUniversity of New BrunswickUniversity of Guelph
Fundersnot available
KeywordsParticipatory action researchIndigenousCitizen journalismCommunity-based participatory researchFocus groupPsychologyEngineering ethicsCommunity psychologySociologyPublic relationsApplied psychologySocial psychologyPolitical scienceEngineering

Abstract

fetched live from OpenAlex

Consistent with community psychology's focus on addressing societal problems by accurately and comprehensively capturing individuals' relationships in broader contexts, participatory research approaches aim to incorporate individuals' voices and knowledge into understanding, and responding to challenges and opportunities facing them and their communities. Although investigators in psychology have engaged in participatory research, overall, these approaches have been underutilized. The purpose of this review was to examine areas of research focus that have included participatory research methods and, in turn, highlight the strengths and ways that such methods could be better used by researchers. Nearly 750 articles about research with Indigenous Peoples, children/adolescents, forensic populations, people with HIV/AIDS, older adults, and in the area of industrial-organizational psychology were coded for their use of participatory research principles across all research stages (i.e., research design, participant recruitment and data collection, analysis and interpretation of results, and dissemination). Although we found few examples of studies that were fully committed to participatory approaches to research, and notable challenges with applying and reporting on this type of work, many investigators have developed creative ways to engage respectfully and reciprocally with participants. Based on our findings, recommendations and suggestions for researchers 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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.045
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.275
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0450.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.008
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 head0.825
GPT teacher head0.676
Teacher spread0.148 · 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