MétaCan
Menu
Back to cohort
Record W2336338773 · doi:10.1017/s095926951600003x

Convergence et divergence sociolinguistique en français laurentien: l'alternance rien que/juste/seulement/seulement que/ne. . . que

2016· article· fr· W2336338773 on OpenAlexaffabout
Raymond Mougeon, Sandrine Hallion, Davy Bigot, Robert A. Papen

Bibliographic record

VenueJournal of French Language Studies · 2016
Typearticle
Languagefr
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsUniversité du Québec à MontréalConcordia UniversityUniversité de Saint-BonifaceYork University
Fundersnot available
KeywordsHumanitiesArtSociology

Abstract

fetched live from OpenAlex

RÉSUMÉ La présente étude est une analyse sociolinguistique de la notion de restriction exprimée par l'alternance rien que / juste / seulement / seulement que / ne . . . que dans le français parlé à Welland (Ontario), Saint-Boniface et Saint-Laurent (Manitoba) et Bonnyville (Alberta). Trois de ces communautés résultent de l'immigration francophone hors Québec, l'autre de l'appropriation du français par les Métis au 18 e siècle. L'examen de l'influence des contraintes internes et externes qui pèsent sur l'emploi des variantes mentionnées ci-dessus met au jour les nombreux points communs qui unissent ces quatre variétés de français mais aussi quelques points de divergence. Ce faisant, notre étude dégage plusieurs pistes de recherche pour une étude panlectale de la convergence et de la divergence sociolinguistique au sein de la famille des variétés de français laurentiens.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.362
Threshold uncertainty score0.729

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.004
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.029
GPT teacher head0.355
Teacher spread0.325 · 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 designObservational
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

Citations9
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueJournal of French Language StudiesSame topicLinguistic Variation and MorphologyFrench-language works237,207