Bibliographic record
Abstract
Weakening or “aspiration” of syllable-final /s/ is a widespread phenomenon in Spanish. When /s/ precedes a voiceless stop in varieties with /s/-aspiration, the result is normally a pre-aspirated stop [ht]. Some speakers in southern Spain now realize /s/ + stop (sC) clusters as post-aspirated stops, particularly in Western Andalusian Spanish (WAS) [Ruch and Harrington, J. Phonics 45(1), 12 (2014)]. Previous studies have analyzed this change as a timing realignment [Parrell, J. Phonics 40(1), 37 (2012)] or articulatory overlap [Torreira, JIPA 42(1), 49 (2012)]. The current study is the first to investigate sC clusters in naturalistic data. The data consist of 34 sociolinguistic interviews with WAS speakers. Preliminary results based on 10 speakers indicate a negative correlation between closure duration and VOT, and lower overall duration of post-aspirated clusters. Affrication of /ht/ to [ts] occurred at a rate of 7%, and deletion of the vowel in 4% of /ht/ tokens in vowel-initial words (e.g., [tha] for está), a phenomenon not reported in laboratory speech. We argue that low-level gestural realignment cannot account for the naturalistic variability in sC clusters, and argue for an account involving simplification to a single post-aspirated stop.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".