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Record W4387882740 · doi:10.4000/linx.10154

Présence et traitement des appellations génériques des peuples autochtones du Canada dans les dictionnaires de langue française

2023· article· fr· W4387882740 on OpenAlex
Mireille Elchacar

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

VenueLinx · 2023
Typearticle
Languagefr
FieldArts and Humanities
TopicLexicography and Language Studies
Canadian institutionsUniversité TÉLUQUniversité de Sherbrooke
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

Depuis quelques années, au Québec, on assiste à des changements dans les dénominations générales employées pour désigner les peuples autochtones. Des membres des communautés autochtones ont pris la parole pour nommer les appellations à privilégier (Autochtone, membre des Premières Nations) et expliquer pourquoi les autres ne leur conviennent plus (Indien, Amérindien). Cet article rend compte du traitement lexicographique des dénominations générales des peuples autochtones du Québec. Est-ce que le traitement lexicographique informe l’usager sur les précautions d’usage et les connotations nouvelles entourant ce vocabulaire? L’analyse tient également compte du lieu de production des dictionnaires (France ou Québec) et de leur caractère professionnel ou non.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.678
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.030
GPT teacher head0.256
Teacher spread0.226 · 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