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Record W3112900411 · doi:10.3138/tric.41.2.a04

Youth Participatory Action Research and Applied Theatre Engagement: Supporting Indigenous Youth Survivance and Resurgence

2020· article· fr· W3112900411 on OpenAlexaffvenueabout
Diane Conrad

Bibliographic record

VenueTheatre Research in Canada · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHumanitiesPolitical scienceArtSociology

Abstract

fetched live from OpenAlex

Pour les jeunes Autochtones du Canada, cette époque a son lot de défis qui ne définissent pas pour autant l’ensemble de leurs réalités. Dans cet article, Diane Conrad s’intéresse au versant pratique de l’engagement théâtral en examinant trois projets de recherche-action participative auxquels ont participé des jeunes Autochtones dans trois contextes différents : en milieu scolaire, dans une prison pour jeunes délinquants et chez un organisme communautaire au service des jeunes de la rue. Elle explore l’importance d’une approche axée sur le théâtre appliqué pour les recherches menées auprès de jeunes Autochtones, faisant valoir qu’elle évite de reproduire des récits unidimensionnels centrés sur les dommages et permet d’ouvrir sur des processus inspirants pour la survie et la résurgence. Conrad met l’accent sur les façons dont la recherche peut aider les jeunes à s’autonomiser et amener les autres à voir la sagesse et l’espoir des jeunes en parallèle avec les luttes qui façonnent leurs réalités.

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)0.012
metaresearch head score (Gemma)0.011
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 score0.138
Threshold uncertainty score0.382

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0260.025
Scholarly communication0.0110.003
Open science0.0030.011
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0060.000

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 head0.869
GPT teacher head0.627
Teacher spread0.242 · 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

Citations9
Published2020
Admission routes3
Has abstractyes

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