Bibliographic record
Abstract
This study examines the phonetic properties of the segment [v] in Greek, Serbian and Russian. [v] patterns phonologically like an obstruent in Greek but like a sonorant in Serbian; in Russian it patterns with both obstruents and sonorants. We test the hypothesis that cross-linguistic differences in the phonological status of [v] correlate with phonetic differences. We report on spectral and durational measures of [v] in four environments: word-initial stressed, word-initial unstressed, word-medial stressed and word-medial unstressed. Our results show an association between phonological patterning and phonetic realization. Greek tokens of [v] are produced with significantly more high-frequency spectral energy than those in Serbian, suggesting a relation between phonological status and phonetic realization in these two languages. Tokens of Russian [v] exhibit the same relationship to tokens of Greek [v] in word-initial stressed position; elsewhere, they are produced with relatively little high-frequency spectral energy. Furthermore, the effects of word position and syllable stress are found to be additive in Russian. These results are important because they support the notion that there exist interactions between the phonological status of a segment and its phonetic realization.
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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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".