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Record W304494711

The Role of Inuit Languages in Nunavut Schooling: Nunavut Teachers Talk about Bilingual Education

2010· article· en· W304494711 on OpenAlexvenueaboutno aff
M. Lynn Aylward

Bibliographic record

VenueCanadian Journal of Education / Revue canadienne de l éducation · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsBilingual educationSociologyPedagogyHumanitiesEthnologyPolitical scienceArt
DOInot available

Abstract

fetched live from OpenAlex

This article provides a discourse analysis of interview transcripts generated from 10 experienced Nunavut teachers (five Inuit and five non ‐ Inuit) regarding the role of Inuit languages in Nunavut schooling. Discussion and analysis focus on the motif of bilingual education. Teachers’ talk identified discourse models of “academic truths” and “revitalization,”demonstrating how Nunavut teachers are making efforts to en ‐ gage with community to effect lasting educational change. Key words: Aboriginal languages; Nunavut education, language policy, discourse analysis, educational change Cet article presente une analyse de discours a partir de transcriptions d’entrevues aupres de dix enseignantes d’experience du Nunavut (cinq Inuits et cinq non ‐ Inuits) au sujet du role des langues inuites dans les ecoles du Nunavut. Les discussions et analyses portent sur la raison d’etre de l’enseignement bilingue. Dans leurs propos, les enseignantes ont identifie des modeles discursifs des « verites pedagogiques » et de la « revitalisation », demontrant par la comment le personnel enseignant au Nuna ‐ vut s’efforcent de travailler de concert avec la communaute pour favoriser des chan ‐ gements a long terme dans l’education. Mots cles : langues autochtones, education au Nunavut, politiques linguistiques, analyse de discours, changement en l’education.

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)0.003
metaresearch head score (Gemma)0.008
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 score0.547
Threshold uncertainty score0.941

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.025
GPT teacher head0.364
Teacher spread0.339 · 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

Citations21
Published2010
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Education / Revue canadienne de l éducationSame topicMultilingual Education and PolicyFrench-language works237,207