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Record W2152395203 · doi:10.7202/044969ar

Les cérémonies de remise de diplômes au Nunavik

2010· article· fr· W2152395203 on OpenAlexaffvenueabout
Fabien Pernet

Bibliographic record

VenueÉtudes/Inuit/Studies · 2010
Typearticle
Languagefr
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesPolitical scienceEthnologyArtSociology

Abstract

fetched live from OpenAlex

Cet article propose de considérer les cérémonies de remise de diplômes au Nunavik comme une scène où se jouent et s’exposent les significations attribuées à l’école et à la réussite scolaire. Les Inuit et les Qallunaat y participent à travers une succession de discours et d’actes symboliques. Ces rituels contemporains organisent le passage de l’univers scolaire, marqué par la passivité dans l’apprentissage et l’abondance des règlements, à un destin fait d’autonomie personnelle et de responsabilité envers ses proches et sa communauté. Les institutions nées de la Convention de la Baie James et du Nord québécois et leurs représentants soulignent notamment la continuité qui existe entre les diplômés et eux-mêmes, et participent à l’enracinement de l’école au sein de dynamiques sociales et culturelles locales, en travaillant la figure d’appropriation que constitue le diplômé inuit. En ce sens, le diplômé condense un ensemble de significations concernant la place et le rôle de l’école dans les communautés contemporaines, en fonction de modèles d’autonomie inuit.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.427
Threshold uncertainty score0.860

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.006
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0000.001
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 head0.048
GPT teacher head0.377
Teacher spread0.328 · 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 designNot applicable
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

Citations1
Published2010
Admission routes3
Has abstractyes

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