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Record W2154452838

Drawing on Diversity in the Arts Education Classroom: Educating Our New Teachers.

2005· article· en· W2154452838 on OpenAlexaboutno aff
Kari Veblen, Carol Beynon, Selma Landen Odom

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldArts and Humanities
TopicArt Education and Development
Canadian institutionsnot available
Fundersnot available
KeywordsPraxisPedagogyCurriculumSociologyDiversity (politics)Multicultural educationInclusion (mineral)MulticulturalismThe artsCultural pluralismCultural diversityTeacher educationSocial sciencePolitical science
DOInot available

Abstract

fetched live from OpenAlex

Abstract In this article, the authors discuss their attempts to make antiracist multiculturalism a reality in their students’ future classrooms. They note that the literature is replete with examples of what not to do in trivializing curriculum, and they attempt here to take theory into praxis/practice by exposing and describing their strategies for engaging their students in antiracist multicultural understandings and activities. Multiple diverse narratives in the classrooms of Canadian schools provide countless opportunities for arts educators to bring community into the classroom. However, research continues to show that new teachers still come predominantly from the dominant culture and will likely continue dominant traditions unless interventions occur that cause them to reflect on what and how they teach (Beynon, Veblen, & Bradford, in review). Realities of schooling and the crosscurrents of race, gender, and class compel educators to rethink culturally responsive curriculum. In this paper we describe the strategies that each of us used with prospective arts teachers in our university classrooms to educate them about issues of diversity and the necessity for inclusion. The purpose of this paper, then, is to explore means of bringing pedagogical

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.623
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.070
GPT teacher head0.295
Teacher spread0.225 · 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.

Study designNot applicable
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

Citations7
Published2005
Admission routes1
Has abstractyes

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