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Record W4407149093 · doi:10.25071/2564-2855.43

Inuit language(s)

2025· article· en· W4407149093 on OpenAlexaffvenueabout
Griffin Cahill

Bibliographic record

VenueWorking papers in Applied Linguistics and Linguistics at York · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsYork University
Fundersnot available
KeywordsLinguisticsComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

This paper examines the relevant legislation which establishes the official languages of Nunavut, a multilingual subnational unit of Canada, and discusses issues in the interpretation of said legislation. The main issues identified are the definition of “Inuit Language” and the authority afforded to acts in “Inuit.” The Official Languages Act (2008) and the Inuit Language Protection Act (2008) establish and define the three official languages of Nunavut as English, French, and “Inuit Language.” I argue that the legislation, though recognizing Inuit cultural views of themselves as one people speaking one language, also accounts for the varying mutual intelligibilities between Inuit “dialects.” Importantly, there are provisions in the legislation which allow for the legislature to afford translations in the “Inuit Language” equal status to the English and French drafts. This is novel in a country predicated on equivalence and sameness of English and French and is deserving of further inquiry

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)0.001
metaresearch head score (Gemma)0.018
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.987
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.015
GPT teacher head0.289
Teacher spread0.275 · 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.

Study designNot applicable
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
Published2025
Admission routes3
Has abstractyes

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Same venueWorking papers in Applied Linguistics and Linguistics at YorkSame topicLinguistic Variation and MorphologyFrench-language works237,207