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Record W2996449498 · doi:10.1177/1103308819886470

A Narrative Review of Ethical Issues in Participatory Research with Young People

2019· review· en· W2996449498 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

VenueYoung · 2019
Typereview
Languageen
FieldSocial Sciences
TopicChildren's Rights and Participation
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsEmpowermentInclusion (mineral)Participatory action researchPublic relationsConfidentialityAnonymityRemunerationNarrativeSociologyPsychologyEngineering ethicsPolitical scienceSocial psychologyLawEngineering

Abstract

fetched live from OpenAlex

Youth participatory action research (YPAR) is a methodology to engage youth in the research process and is focused on emancipation and empowerment. Although benefits have been outlined, ethical issues have also arisen. This article provides a narrative review of peer-reviewed literature regarding these ethical issues. After applying standardized search criteria and inclusion/exclusion criteria, 26 articles remained. Examination of the literature revealed seven categories of ethical issues: level of participation, power, consent, risk/benefit ratio, confidentiality and anonymity, remuneration and empowerment. To mitigate these issues, recommendations are provided, including: being explicit about, and inclusive of, youths’ participation; critically reflect upon the researcher as ‘expert’; consent as an ongoing process and based on capacity rather than biological age; balancing the need to protect youth with the benefits of participation; challenge blanket anonymity policies to maximize participation and empowerment; remuneration beyond monetary compensation; and incorporate concepts of empowerment into research design and process.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.849
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.357
GPT teacher head0.544
Teacher spread0.186 · 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