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Record W2078876446 · doi:10.1080/15595692.2011.606010

Deconstructing Diversity: Professional Development for Elementary Teachers

2011· article· en· W2078876446 on OpenAlexaffabout
Sonia Aujla-Bhullar

Bibliographic record

VenueDiaspora Indigenous and Minority Education · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsDiversity (politics)Ethnic groupMulticulturalismProfessional developmentPedagogyRace (biology)SociologyPopulationCultural diversityMulticultural educationAction (physics)PsychologyPublic relationsPolitical scienceGender studies

Abstract

fetched live from OpenAlex

Organizing and facilitating professional development (PD) for teachers around issues of ethnicity, race, language, culture, and religion is an important area of research within Canadian education. The diversity in schools across Canada is growing, and meeting the needs of these students becomes essential as we reflect on the aims of teacher responsiveness to cultural diversity. This article examines the PD of a Calgary, Alberta school whose population consists of a majority of “visible minority” students and a predominantly White staff. Through a recounting and analysis of the feedback and reflection of teachers who partook in an initiative geared toward “getting out” into the actual community of the students, this article presents significant themes in the necessity around the PD of educators. The implications revealed in this action-based research include (a) a view of short-term and long-term planning, (b) the risk of essentializing others by applying experiences of a representative to an entire group, and (c) being aware of and taking ownership of one's own learning and understanding. These challenges and the benefits of PD, organized by a visible minority staff member, add more depth and knowledge to the growing understanding of multiculturalism and its impact on education in Canada.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.166
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 studies0.0020.000
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 head0.106
GPT teacher head0.350
Teacher spread0.243 · 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 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

Citations19
Published2011
Admission routes2
Has abstractyes

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