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Record W240367558 · doi:10.1017/s0008413100000177

Les Québécois perçoivent-ils le français montréalais comme une variete topolectale distincte ? Résultats d’une analyse perceptuelle exploratoire

2014· article· en· W240367558 on OpenAlexaffabout
Wim Remysen

Bibliographic record

VenueThe Canadian Journal of Linguistics / La revue canadienne de linguistique · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsFrenchMetropolitan areaSociologyHumanitiesGeographyArt

Abstract

fetched live from OpenAlex

Abstract Given its status as the social, economic, and cultural center of Quebec, the metropolitan area of Montreal plays a rather important role with respect to the sociolinguistic dynamics of the province as a whole. For instance, certain changes that have affected Quebec French over time are believed to have appeared in Montreal before having spread to other regions of the province. Such a scenario entails that Quebeckers perceive certain linguistic features as being part of Montreal French — sometimes without even being aware of it — and that these dialect markers take on social values that are prone to their further diffusion. This article aims to look further into this hypothesis by presenting the results of an exploratory dialect identification task. The perceptual test is part of a research program whose scope is to study the distribution of nasal vowels in Montreal French in general and that of the nasal vowel / ã / in particular.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.222
Threshold uncertainty score0.447

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.026
GPT teacher head0.271
Teacher spread0.246 · 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

Citations7
Published2014
Admission routes2
Has abstractyes

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Same venueThe Canadian Journal of Linguistics / La revue canadienne de linguistiqueSame topicLinguistic Variation and MorphologyFrench-language works237,207