MétaCan
Menu
Back to cohort
Record W2965856625 · doi:10.36510/learnland.v12i1.988

Culturally Sustaining Pedagogy Through Arts-Based Learning: Preservice Teachers Engage Emergent Bilinguals

2019· article· en· W2965856625 on OpenAlex
Nancy Pauly, Karla V. Kingsley, A. Leroy Baker

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueLEARNing Landscapes · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicArt Education and Development
Canadian institutionsnot available
FundersImperial Experimental Cancer Medicine Centre
KeywordsThe artsPedagogyArts in educationModalitiesLanguage artsTeacher preparationPsychologyTeacher educationSociologyMathematics educationVisual artsSocial science

Abstract

fetched live from OpenAlex

Rooted in arts-based learning, funds of knowledge, and culturally sustaining pedagogies, this paper describes the experiences of a cohort of preservice teachers who co-created arts integration units with emergent bilingual students, engaging them in the creation of plays based on culturally relevant children’s literature. This cohort was designed by eight professors to prepare professionals to serve the needs of culturally diverse and economically vulnerable communities through arts-based teaching and assessment modalities. We share three telling cases about these preservice teachers’ reflections on their pedagogy and their students’ engagement illustrating how the arts can foster inclusive ways of knowing and communicating.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.876
Threshold uncertainty score1.000

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0160.001

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 head0.038
GPT teacher head0.321
Teacher spread0.284 · 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