Être inuk et plurilingue à Kuujjuaq au Nunavik (grand Nord québécois) pour marcher ensemble les langues
Bibliographic record
Abstract
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".