MétaCan
Menu
Back to cohort
Record W1501179696

Participatory action research: exploring Indigenous youth perspectives and experiences

2009· article· en· W1501179696 on OpenAlexaff
Suzanne Stewart, Yellowknife Dene

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsIndigenousOppressionParticipatory action researchAction researchSociologyQualitative researchGovernment (linguistics)Action (physics)Citizen journalismColonialismPolitical scienceGender studiesEnvironmental ethicsSocial scienceAnthropologyPoliticsEcologyPedagogyLaw
DOInot available

Abstract

fetched live from OpenAlex

This study sought to expand on existing data concerning the Aboriginal experience of ethical issues in psychoeducational research. The research question focused on exploring the experiences and perceptions of Aboriginal youth who participate in action research conducted in their communities. Through a qualitative approach, the study examined the experiences of five Aboriginal youth from a British Columbia setting who had participated in a recent participatory action research project. The purpose was to identify both appropriate and damaging research practices employed by researchers working in an Aboriginal youth context. Three major themes emerged from the data, Research Design and Methodology, Benefit to Participants, and Benefit to Community, all with several categories and sub-themes also identified. Major findings regarding ethics include implications for participatory action research, cross-cultural sensitivity by researchers, Aboriginal control over research, and directions for future ethical research design.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.042
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.221

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0420.021
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0170.025
Scholarly communication0.0080.006
Open science0.0020.014
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.969
GPT teacher head0.733
Teacher spread0.236 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2009
Admission routes1
Has abstractyes

Explore more

Same topicParticipatory Visual Research MethodsFrench-language works237,207