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Record W2897347608 · doi:10.25071/1916-4467.40358

Intersectionality and Solidarity in Curriculum-Making Theatre Encounters with Marginalized Youth Researcher-Artists

2018· article· en· W2897347608 on OpenAlexaffvenueabout
Rachel Rhoades

Bibliographic record

VenueJournal of the Canadian Association for Curriculum Studies · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicArt Education and Development
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCurriculumSociologySolidarityIntersectionalityPedagogyPraxisExperiential learningPoliticsQualitative researchResistance (ecology)Gender studiesMedia studiesSocial scienceEpistemologyPolitical science

Abstract

fetched live from OpenAlex

In this article, drawn from my doctoral study, I argue that applied theatre encounters can serve as methods of Deweyian social inquiry and as curriculum-making events that illuminate how youths perceive their roles in social resistance and that offer them an opportunity to serve as artists, researchers, activists and public pedagogues. I situate the study in the field of curriculum studies by placing the research project itself in relation to a William Doll’s 4Rs model of curriculum principles: Richness, Recursion, Relations and Rigor. I posit that the research-based applied theatre practice of ethnodrama can potentially serve as an educational space wherein marginalized youths can integrate qualitative research and experiential knowledge as facilitators of a more just society. The 12 racialized, socioeconomically under-resourced youth participants in Toronto focused on intersectionality and solidarity in their ethnodrama action project. I explore the pedagogical, political and artistic choices these youths made in the process of both devising and presenting their original theatrical piece.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.770
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.051
GPT teacher head0.312
Teacher spread0.261 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations2
Published2018
Admission routes3
Has abstractyes

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