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Record W4396518075 · doi:10.1017/s0959269524000103

A variationist study of /tʊt/ in Michif French

2024· article· en· W4396518075 on OpenAlex

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

VenueJournal of French Language Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsUniversité du Québec à MontréalConcordia University
Fundersnot available
KeywordsLinguisticsPolitical scienceHistoryPhilosophy

Abstract

fetched live from OpenAlex

Abstract This research focuses on the dissidence of Michif French, an endangered variety of Laurentian French spoken by a number of Métis in Western Canada. We examine the vernacular use of [tʊt] ( tout / tous ‘all, every’) in a corpus of around 50 interviews collected in the Métis community of St. Laurent, Manitoba, in the 1980s. On the one hand, the internal analysis supports the hypothesis that it is related to the other varieties of Laurentian French. On the other hand, the external data reveal that [tʊt] is widely used, confirming the highly vernacular character of Michif French compared to the other varieties. Finally, the analysis of several interview extracts illustrates that the intensive use of vernacular variants acts as an identity marker, enabling speakers to lay claim not only to their culture, but also to a language they consider distinct from that of other French speakers.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.181
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 head0.033
GPT teacher head0.386
Teacher spread0.353 · 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