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Record W4414102801 · doi:10.1080/1547688x.2025.2556178

Developing culturally sustaining pedagogy capacity in teacher education through collaborative applied theatre with newcomers

2025· article· en· W4414102801 on OpenAlexfundaboutno aff
Rachel Rhoades

Bibliographic record

VenueThe New Educator · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsnot available
FundersBrock University
KeywordsTeacher educationQualitative researchTeaching methodCultural competenceSocial justiceConsciousness raisingFaculty developmentCultural diversity

Abstract

fetched live from OpenAlex

Newcomer K-12 students face a plethora of obstacles in the United States and Canada in a context of school systems with predominantly white teachers. This article examines the Cross-Cultural Community-Building and Applied Theatre study in which teacher candidates at a large Canadian public university collaborated with nine adult newcomers to a theater program. The author posits applied theater with newcomer community members seeking potential pathways for enhancing teaching candidates understanding of cultural differences. It was hoped that this would prepare them as anti-oppressive educators committed to culturally sustaining pedagogy. Particularly through the original Forum Theater scenes, newcomers and teacher candidates experienced interculturalidad, developing reciprocal relationships of care and criticality. These held possibilities for disrupting power hierarchies in the school system and in the larger culture. This paper analyzes the application of LatCrit pedagogies, such as counterstorytelling in the contact zone, in intercultural applied theater with adult newcomers. This is expected to provide a pathway for teacher candidates to prepare to be critical educators dedicated to uplifting the lived experiences of all marginalized students with whom they might work in the future.

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)0.000
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.388
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.037
GPT teacher head0.382
Teacher spread0.345 · 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 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

Citations0
Published2025
Admission routes2
Has abstractyes

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