Phonetic correlates of phonological vowel quantity in Yakut read and spontaneous speech
Bibliographic record
Abstract
The quantity language Yakut (Sakha) has a binary distinction between short and long vowels. Disyllabic words with short and long vowels in one or both syllables were extracted from spontaneous speech of native Yakut speakers. In addition, a controlled production by a native speaker of disyllabic words with different short and long vowel combinations along with contrastive minimal pairs was recorded in a phonetics laboratory. Acoustic measurements of the vowels' fundamental frequency, duration, and intensity showed a significant consistent lengthening of phonologically long vowels compared to their short counterparts. However, in addition to evident durational differences between long and short quantities, fundamental frequency and intensity also showed effects of quantity. These results allow the interpretation that similarly to other non-tonal quantity languages like Finnish or Estonian, the Yakut vowel quantity opposition is not based exclusively on durational differences. The data furthermore revealed differences in F0 contours between spontaneous and read speech, providing some first indications of utterance-level prosody in Yakut.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.002 | 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".