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Record W4200547185 · doi:10.1177/00131245211062526

Multicultural Classrooms: Culturally Responsive Teaching Self-Efficacy among A Sample of Canadian Preservice Teachers

2021· article· en· W4200547185 on OpenAlex
Saghar Chahar Mahali, Phillip R. Sevigny

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEducation and Urban Society · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsUniversity of AlbertaUniversity of Guelph
Fundersnot available
KeywordsPsychologyCultural diversityMulticulturalismSelf-efficacyTeacher educationBurnoutCross-culturalSample (material)Cultural competenceDiversity (politics)Multicultural educationPedagogyMathematics educationSocial psychologySociologyClinical psychology

Abstract

fetched live from OpenAlex

Many teachers enter classrooms with limited cross-cultural awareness and low levels of confidence to accommodate cultural diversity. Therefore, teaching a heterogeneous body of students requires teachers to have culturally responsive teaching self-efficacy (CRTSE). The investigation of factors impacting teachers’ self-efficacy in teaching diverse students has produced mixed results. The purpose of the current study was to explore the determinants of CRTSE in a sample of Canadian preservice teachers. One hundred and ten preservice teachers from a medium-sized public Canadian University completed measures of political orientation, CRTSE, cross-cultural experiences, and teacher burnout. Higher levels of preservice teachers’ CRTSE were predicted by lower levels of Emotional Exhaustion (i.e., a key aspect of burnout syndrome) and more frequent cross-cultural experiences in their childhood and adolescence. Implications for training preservice teachers are discussed.

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)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.427
Threshold uncertainty score0.840

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
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 head0.019
GPT teacher head0.312
Teacher spread0.293 · 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