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Record W4410559983 · doi:10.7202/1117938ar

Linguistic and Ontological Issues at the Heart of the Nunavik Itinerant Court: The Role of Interpreters as Cultural Mediators

2025· article· en· W4410559983 on OpenAlexaffvenueabout
Pascale Laneuville, Allie Miot-Bruneau, Isabelle Martineau, Caroline Hervé

Bibliographic record

VenueMinorités linguistiques et société · 2025
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsInterpreterLinguisticsSociologyPsychologyEpistemologyPhilosophyComputer science

Abstract

fetched live from OpenAlex

In this International Decade of Indigenous Languages (2022–2032)—as proclaimed by the United Nations General Assembly—it is important to note that the Inuit of Nunavik (Arctic Quebec) still widely speak their own language, Inuktitut, while understanding the two colonial languages, English and French, to greatly varying degrees. The Court of Québec has jurisdiction in the region over criminal matters, whereas different legal texts protect the right of Inuit to court interpretation, including the provincial and federal Charters of Rights and Freedoms. In this paper, we address the linguistic challenges of interpreting at the Nunavik Itinerant Court, with the aim of shedding light on the ontological conflicts at the heart of the justice system. We also examine the meaning of “justice” for Inuit. To that end, we use the results of research by the Sentinel North Research Chair on Relations with Inuit Societies (Université Laval).

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)0.020
metaresearch head score (Gemma)0.022
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: none
Teacher disagreement score0.741
Threshold uncertainty score0.515

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.022
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0360.098
Scholarly communication0.0220.014
Open science0.0030.013
Research integrity0.0050.009
Insufficient payload (model declined to judge)0.0040.000

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 head0.021
GPT teacher head0.423
Teacher spread0.402 · 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

Citations0
Published2025
Admission routes3
Has abstractyes

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