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Record W3043910631 · doi:10.7202/1070098ar

Ethnographie dans une école primaire au pays de Galles. Une posture épistémologique d’insider/outsider

2020· article· fr· W3043910631 on OpenAlexaffvenueabout
Karine Turner, Nathalie Bélanger

Bibliographic record

VenueÉducation et francophonie · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesArtSociology

Abstract

fetched live from OpenAlex

Cet article explore des caractéristiques d’une recherche ethnographique menée en contexte linguistique minoritaire et portant sur le rôle du personnel enseignant dans la production et la reproduction de la langue et de la culture galloises. Le rapprochement au terrain, considérant les similitudes entre l’Ontario français et le pays de Galles, autant que la distance avec celui-ci sont abordés à travers une posture originale dite d’insider/outsider. Les résultats traitent du contexte sociétal diglossique de la langue au pays de Galles, qui s’apparente à celui de l’Ontario français, et de la possibilité de mieux le comprendre à partir d’une ethnographie qui tient compte de cette posture originale épistémologique. L’apprentissage de la langue, la prise de contact avec les acteurs clés, la sensibilisation à l’histoire et aux enjeux de la minorité ainsi que le rôle enseignant sont traités. Il en ressort une contribution inédite qui renseigne ce que signifie mener une ethnographie dans un milieu linguistique minoritaire autre que celui auquel on appartient, mais avec lequel des liens sont tissés.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.833
Threshold uncertainty score0.336

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0110.011
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.054
GPT teacher head0.390
Teacher spread0.336 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2020
Admission routes3
Has abstractyes

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