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Record W2566172739 · doi:10.7202/1038048ar

« Une école où tu réapprends à être fier de ce que tu es… »

2016· article· fr· W2566172739 on OpenAlexafffundvenueabout
Emanuelle Dufour

Bibliographic record

VenueRecherches amérindiennes au Québec · 2016
Typearticle
Languagefr
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsConcordia University
FundersUniversité de Montréal
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Depuis son ouverture en 2011 à Odanak, l’Institut collégial Kiuna constitue le seul établissement postsecondaire conçu par et pour les Premières Nations du Québec. Il s’inscrit dans la ligne directe de son prédécesseur, le Collège Manitou de La Macaza (1973-1976) et des Tribal Colleges and Universities (TCU) américains en matière de sécurité et de continuité culturelles. Or, l’introduction de perspectives autochtones et de cursus adaptés au sein du système d’éducation provincial pose un certain nombre de défis conceptuels et logistiques. L’établissement postsecondaire peut-il s’avérer un environnement favorable au développement identitaire des étudiants autochtones ? L’adaptation de programmes postsecondaires peut-elle contribuer à la persévérance et à la réussite des étudiants des Premières Nations ? Cet article vise à analyser les dispositifs inscrits au sein du projet pédagogique du programme Sciences humaines – Premières Nations de l’Institution Kiuna. À la lumière des témoignages d’étudiants, de diplômés et de professionnels autochtones recueillis entre 2013 et 2015, il tend à démontrer que l’adaptation de cursus et de services postsecondaires contribue à la sécurité culturelle, à l’enracinement identitaire et, donc, à la persévérance scolaire d’étudiants des Premières Nations.

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)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.626
Threshold uncertainty score0.745

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0120.009
Scholarly communication0.0070.004
Open science0.0010.005
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0220.003

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 head0.050
GPT teacher head0.324
Teacher spread0.274 · 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

Citations6
Published2016
Admission routes4
Has abstractyes

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