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Record W4405384296 · doi:10.1080/02673843.2024.2435264

Indigenous youth engagement in research: a scoping review of community-based participatory action research (CBPAR) in Canada and the USA

2024· review· en· W4405384296 on OpenAlex
Carolyn M. Melro, Amy Bombay, Margaret Robinson, Debbie Martin, Kira Bombay, L. Hackett

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Journal of Adolescence and Youth · 2024
Typereview
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsUniversity of British ColumbiaQueen's UniversityDalhousie University
Fundersnot available
KeywordsParticipatory action researchIndigenousCommunity-based participatory researchCitizen journalismCommunity engagementAction researchAction (physics)SociologyPolitical sciencePublic relationsGender studiesPsychologyAnthropologyPedagogyEcology

Abstract

fetched live from OpenAlex

Community-based participatory action research (CBPAR) is founded on meaningful collaboration with communities in the design and execution of research. CBPAR is gaining traction as an ethical and effective approach to research with underserved populations, including Indigenous youth. This scoping review examined 134 CBPAR studies involving Indigenous youth in Canada and the United States, to identify when, how, and to what extent Indigenous youth were engaged in research. Youth engagement was analysed on a continuum defined by the extent of decision-making throughout research. Indigenous youth participated in research decision-making in 62% of studies examined, with wide variation in extent and style of engagement. Youth wisdom and voices were often underutilized or undescribed in research decisions. However, many cases demonstrate that Indigenous youth can and do contribute meaningfully to research with and about their peers. Findings support a need for transparent reporting on how youth engagement is enacted in CBPAR.

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.

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Review
About the Canadian research system: yes · About a Canadian topic: yes
Systematic reviewlow
gptMetaresearch
Domain: Methods · Genre: Review
About the Canadian research system: no · About a Canadian topic: yes
Systematic reviewhigh
models splitAgreement compares identical category sets and study designs across arms.

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)0.084
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.823
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0840.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.004
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 head0.932
GPT teacher head0.723
Teacher spread0.209 · 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