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Record W4400773605 · doi:10.31219/osf.io/6qj7w

Feet without stress: High vowel deletion in Québec French

2024· preprint· en· W4400773605 on OpenAlexaboutno aff
Natália Brambatti Guzzo, Heather Goad, Guilherme D. Garcia

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsnot available
Fundersnot available
KeywordsVowelStress (linguistics)Speech recognitionComputer scienceAudiologyLinguisticsMedicinePhilosophy

Abstract

fetched live from OpenAlex

Abstract This article investigates whether high vowel deletion (HVD) in Québec French (QF) is conditioned by prosodic structure. In Prosodic Phonology, prosodic constituents are typically assumed to be universal. However, the universality of certain constituents, such as the foot, has been questioned for languages like French, where prominence is obligatory only at the phrase level. We probe this issue by analysing HVD, a lenition process that is sensitive to prominence. We conducted two experiments. Experiment 1 examined the role of phrasal tone profile in HVD, while Experiment 2 examined whether word-internal constituency affects HVD. The results show that, while tone profile does not affect HVD, the process is preferred in dependent positions of iambic feet in even-parity forms. Odd-parity forms show no preference regarding HVD, suggesting that even- and odd-parity forms are parsed differently in QF.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.259
Threshold uncertainty score0.521

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.030
GPT teacher head0.359
Teacher spread0.329 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2024
Admission routes1
Has abstractyes

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