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Record W2339623509 · doi:10.1017/s0959269516000065

Linguistic convergence/divergence or degree of bilingualism?

2016· article· en· W2339623509 on OpenAlexaboutno aff
Annie Tremblay

Bibliographic record

VenueJournal of French Language Studies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsnot available
Fundersnot available
KeywordsDivergence (linguistics)LinguisticsNeuroscience of multilingualismConvergence (economics)SociologyPerspective (graphical)Spoken languageHistoryMathematicsPhilosophy

Abstract

fetched live from OpenAlex

In their article, Mougeon, Hallion, Bigot, and Papen attempt to explain the similarities and differences among four varieties of Canadian French spoken outside Quebec (and New Brunswick) in the use of the restriction forms rien que, juste, seulement (que) , and ne . . . que . Mougeon and colleagues focused on the French varieties spoken in Welland (Ontario), Saint-Boniface (Manitoba), Saint-Laurent (i.e., Mitchif French, Manitoba) and Bonnyville (Alberta) (see also Nadasdi & Keppie 2004). Using a variationist sociolinguistic framework, they examined the effect of linguistic and extralinguistic factors on speakers’ use of the aforementioned restriction forms, and compared their results to those reported in previous studies of the French varieties spoken in Montreal (Quebec) (Massicotte 1984, 1986; Thibault & Daveluy 1989) and in Hawkesbury, Cornwall, Northbay, and Pembroke (Ontario) (Rehner & Mougeon 1998). Based on their results, Mougeon and colleagues made hypotheses regarding linguistic convergence/divergence and raise relevant questions for future research. In this commentary, I briefly assess some of the contributions made by this research from a psycholinguistic perspective. In doing so, I raise additional questions concerning the source of the effects reported in the study.

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 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)0.026
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.467
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.026
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.091
GPT teacher head0.392
Teacher spread0.300 · 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 teacher head, not a consensus.

Study designQualitative
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

Citations0
Published2016
Admission routes1
Has abstractyes

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