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Record W2974984973 · doi:10.22329/csw.v17i1.5891

Youth Involvement in Participatory Action Research (PAR)

2019· article· en· W2974984973 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCritical Social Work · 2019
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsnot available
Fundersnot available
KeywordsParticipatory action researchConfidentialityTransformative learningAction researchAction (physics)Citizen journalismEngineering ethicsEthical issuesInformed consentPublic relationsPsychologyPolitical scienceSociologyMedicineEngineeringPedagogyAlternative medicine

Abstract

fetched live from OpenAlex

Participatory Action Research (PAR) has been increasingly viewed as an effective strategy to enhance youth, community-based organizations that serve youth, and broader communities. However, young people have not been frequently involved in research and evaluation efforts as co-researchers or partners. This paper explored major challenges and barriers to the active engagement of youth identified in previous PAR projects. This critical literature review revealed relational, scientific, and ethical challenges. The relational challenges included a lack of trust and unequal power relationships between youth participants and adult researchers. The scientific issues were significantly associated with the major components of the PAR, such as transformative purposes, iterative processes, and flexible methods. Finally, significant ethical issues are identified in terms of potential risks to youth, confidentiality, and informed consent. This paper concludes with specific recommendations for effective strategies to deal with the challenges and barriers identified and possible directions for future research.

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)0.007
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.081
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.005

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 head0.925
GPT teacher head0.768
Teacher spread0.157 · 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