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Record W4307244440 · doi:10.3989/loquens.2021.080

Coronal stop lenition in French and Spanish: Electropalatographic evidence

2021· article· en· W4307244440 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.

Bibliographic record

VenueLoquens · 2021
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsUtteranceLinguisticsRomance languagesPsychologyHistoryPhilosophy

Abstract

fetched live from OpenAlex

Lenition of voiced and, to a lesser extent, voiceless stops is widely attested in Western Romance languages. In Spanish, utterance-initial voiced stops as well as those following nasals alternate with approximants in intervocalic position. Acoustic and articulatory studies have revealed factors that condition phonetic weakening. In contrast, very little is known about stop weakening in French. In this paper, using electropalatography, we provide articulatory evidence for the lenition of /t d/ in both Spanish and French. Data obtained from seven Spanish-speaking and four French-speaking participants reveal that, in both languages, /d/ is produced with less linguopalatal contact than /t/, and these differences are strongly conditioned by the position within the utterance or word. The languages differ, however, in the degree of /d/ lenition as well as in some of the contextual conditioning factors. Overall, our results, which should be interpreted with some caution given the number of speakers and the balance of the stimuli set, show that French resembles other Romance languages in its phonetic patterns of lenition, differing mainly in the degree of weakening.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.185
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.058
GPT teacher head0.357
Teacher spread0.299 · 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