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Record W4362684634 · doi:10.4000/glottopol.3250

Être inuk et plurilingue à Kuujjuaq au Nunavik (grand Nord québécois) pour marcher ensemble les langues

2023· article· fr· W4362684634 on OpenAlex
Natacha Roudeix

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueGlottopol · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsFrancophone University Association
Fundersnot available
KeywordsHumanitiesArtSociology

Abstract

fetched live from OpenAlex

Cette recherche qualitative inspirée par une approche ethno-sociolinguistique (Blanchet & Chardenet, 2011) et participative (Wang, 1999) permet de discuter les représentations sociolinguistiques de locuteurs Inuit plurilingues. Il s’agit, en effet, de comprendre comment les langues se transmettent au travers de l’engagement actif des familles dans des expériences altéritaires engageant des mises en narrations mobiles d’identités plurielles où le français, l’anglais et d’autres langues se (mé)tissent à l’inuktitut. Le corpus pluriel, tiré d’une thèse doctorale, inclut des entretiens, de la documentation visuelle par ethno-photographie d’événements communautaires, des prises de notes et des observations dans une communauté du Nunavik. La contribution interroge, aussi, sur fond de (re)vitalisation et de réconciliation (MacDonald & Moore, 2016 ; Patrick, 2015), la posture de chercheur en milieu autochtone (Moore & MacDonald, 2011) dans la recherche sociolinguistique et didactique sur le plurilinguisme.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.846
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.006

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 head0.104
GPT teacher head0.447
Teacher spread0.342 · 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