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Record W4282830259 · doi:10.1075/dia.20029.com

Continuity and change in the evolution of French yes-no questions

2022· article· en· W4282830259 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

VenueDiachronica · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsCarleton UniversityYork UniversityUniversité du Québec à Montréal
Fundersnot available
KeywordsLinguisticsFocus (optics)HistoryTracingPeriod (music)Metropolitan areaLanguage contactSociologyPhilosophyComputer scienceAesthetics

Abstract

fetched live from OpenAlex

Abstract This present study contributes to research on the structure of yes-no questions in French. Informed by previous historical linguistic research tracing developments from the Old French period onwards, we focus on qualitative analysis of grammatical commentary and variationist analysis of Acadian French spoken-language data. We compare the evolution of yes-no questions in Acadian, Metropolitan, and Quebec French, reconstructing the history of variants up to the present. While in most cases we encounter slow-moving change, we do find inter-varietal differences in degree of retention of individual variants, including outright loss; in development of stylistic differentiation; and in analogically based innovation. We also find inter-varietal differences in grammatical constraints governing usage and in the fine detail regarding sentential polarity, illuminated in terms of the semantico-pragmatic functions of negative yes-no questions. The overall results underline the importance of considering sociolinguistic histories, including histories of dialect contact, along with local linguistic markets.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.889
Threshold uncertainty score0.964

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 head0.026
GPT teacher head0.320
Teacher spread0.295 · 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