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Record W7117313734 · doi:10.1017/s095439452510063x

Frenching it up: The English future temporal reference system in a French-Canadian dominant town

2025· article· en· W7117313734 on OpenAlex
Basile Roussel, Sali A. Tagliamonte

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

VenueLanguage Variation and Change · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsUniversity of TorontoUniversité de Moncton
Fundersnot available
KeywordsContrast (vision)Variation (astronomy)Polarity (international relations)Affect (linguistics)Key (lock)Neuroscience of multilingualism

Abstract

fetched live from OpenAlex

Abstract This study examines the future temporal reference (FTR) system among Francophones and Anglophones speaking English in Kapuskasing, Ontario. Previous studies have shown that in Laurentian French, the go future is the preferred variant, and the strongest determinant of variant choice is polarity: negatives strongly favor the inflected future. In Canadian English, the go future has no polarity effect and there is robust variation with will , highlighting a key contrast in the underlying constraints between the French and English FTR systems. The results show that while older Anglophones pattern in tandem with known studies of English, Francophones, as well as young Anglophones, exhibit the polarity contrast of the French system, even though they are speaking English. We suggest that these results may stem from social alignment between Francophones and Anglophones driven by increasing linguistic and social symmetry in the community, as well as increasing positive affect toward French in Kapuskasing.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.614
Threshold uncertainty score0.326

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.022
GPT teacher head0.285
Teacher spread0.263 · 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