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Record W4387261273 · doi:10.1017/s0954394523000170

A question of change: Putting five complementary measures to the test with French polar interrogatives

2023· article· en· W4387261273 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

VenueLanguage Variation and Change · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsInterrogative wordSound changeTimelineLinguisticsVariable (mathematics)Language changeLinguistic changeHistoryEconometricsMathematicsPhilosophy

Abstract

fetched live from OpenAlex

Abstract This paper explores how five key complementary features of variable systems—overall rates, variant conditioning, productivity, contextual dispersion, and diffusion in the community—must be marshaled to provide a more comprehensive characterization of change in progress. We illustrate by revisiting a robustly variable sector of Canadian French morphosyntax whose variants are known to be in flux: the polar interrogative domain. Analyses extend the timeline of Elsig (2009)/Elsig and Poplack’s (2006) diachronic analysis by an additional twenty-five years, bringing 2,000+ questions produced by 133 speakers to bear on developments occurring over a period of nearly a century and a half of spontaneous Québec French speech. Results underscore the need to consider more than rates and conditioning in the study of language change. Linguistic dispersion and diffusion in the community provide crucial insight into the mechanics of the transition period and contribute to identifying shifts in variant productivity at each point in time.

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)0.001
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: Empirical
Teacher disagreement score0.883
Threshold uncertainty score0.968

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.081
GPT teacher head0.351
Teacher spread0.269 · 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