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Record W2094073726 · doi:10.1080/13613320701330684

In pursuit of being Canadian: examining the challenges of culturally relevant education in teacher education programs

2007· article· en· W2094073726 on OpenAlexaffabout
S. Nombuso Dlamini, Dragana Martinović

Bibliographic record

VenueRace Ethnicity and Education · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsMainstreamPedagogyTeacher educationCultural diversityGeneral partnershipDiversity (politics)Cultural competenceSociologyPsychologyPolitical science

Abstract

fetched live from OpenAlex

This article is about an ongoing initiative that addresses the challenges confronted by teacher candidates to whom English is an additional language and whose cultures are considered different from those of the Canadian mainstream. The initiative is a seminar, Language and Cultural Engagement, in which teacher candidates are prepared for practice teaching through discussions and presentations about diversity, language, and culture; video recorded, peer and teacher analyzed ‘rehearsal’ classroom teaching in a partnership school; and Enriched English as a Second Language lessons. The article is based on data collected through surveys at the beginning and end of the seminar, as well as on instructors' reflections working with teacher candidates from diverse cultural backgrounds dealing with the nuances of the Canadian classroom. Three concerns, concern for authority, language, and cultural acceptance, which were identified as impacting teacher candidates' practice are examined. In addition, the degree to which these concerns were reduced through the seminar is presented. Nonetheless, the concern for cultural acceptance remained unchanged and was identified by teacher candidates as fundamentally important to how they were viewed by their host teachers as knowledgeable, qualified professionals.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.494
Threshold uncertainty score0.598

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.044
GPT teacher head0.364
Teacher spread0.320 · 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

Citations24
Published2007
Admission routes2
Has abstractyes

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