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Record W4388023639 · doi:10.1177/14767503231205238

The experience of youth-participatory action research in a social innovation lab: A methodological and organizational approach

2023· article· en· W4388023639 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAction Research · 2023
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsLawson Health Research InstituteWestern University
FundersOntario Trillium Foundation
KeywordsParticipatory action researchAction researchSociologyCitizen journalismAction (physics)InstitutionQuality (philosophy)Social innovationPublic relationsPedagogyPolitical scienceSocial scienceEpistemology

Abstract

fetched live from OpenAlex

Based on the theory and quality criteria of Youth-Participatory Action Research (Y-PAR), youth and adult co-researchers at a social innovation lab in Ontario, Canada, have undertaken various knowledge generation and action activities for the purpose of supporting youth mental health and wellbeing among transitional-age youth (ages 16–25). We describe the methodological and organizational approach employed in this undertaking, including aspects of the social innovation model to support the action components of Y-PAR. We draw on Bradbury-Huang’s (2010) seven choice points for quality in action research to structure this collective reflection. Our experiences illustrate the tensions and opportunities arising from housing a Y-PAR project within a large health services institution. We also note how social innovation lab processes can support the emancipatory aims of participatory research. Implications for using Y-PAR in other areas are included.

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)0.051
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.271
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0510.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.011
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.991
GPT teacher head0.844
Teacher spread0.147 · 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