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Record W2341429060 · doi:10.20381/ruor-5422

Constitutionnaliser la langue inuit au Nunavut

2016· dissertation· fr· W2341429060 on OpenAlexaboutno aff
Jean-Michel Richardson

Bibliographic record

VenueuO Research (University of Ottawa) · 2016
Typedissertation
Languagefr
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

La présente thèse a pour objet d’analyser les moyens par lesquels la langue inuit au Nunavut pourrait être constitutionnalisée en droit canadien. Nous dresserons la toile de fond des droits linguistiques au Nunavut pour ensuite analyser les moyens par lesquels le droits canadien pourrait conférer des protections constitutionnelles à cette langue. En premier lieu, nous analyserons l’article 35 de la Loi constitutionnelle de 1982 en vue de répondre à la question de savoir si la langue inuit pourrait constituer un droit ancestral. Nous analyserons aussi la question de savoir si une telle reconnaissance exigerait que la Couronne prenne des mesures positives pour protéger cette langue. Nous expliciterons ensuite les moyens par lesquels on pourrait constitutionnaliser expressément la langue inuit au Nunavut. Pour ce faire, nous étudierons, d’une part, la procédure de modification prévue à l’Accord sur les revendications territoriales du Nunavut et, d’autre part, les procédures de modification prévues à la Partie V de la Loi constitutionnelle de 1982.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.230
Threshold uncertainty score0.463

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 studies0.0080.005
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.109
GPT teacher head0.461
Teacher spread0.353 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations0
Published2016
Admission routes1
Has abstractyes

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Same venueuO Research (University of Ottawa)Same topicMultilingual Education and PolicyFrench-language works237,207