Bibliographic record
Abstract
The hypothesis 'licensing by cue' by Steriade holds that phonological contrasts are maintained in environments that provide better acoustic cues to the contrasts and are neutralized in environments that provide poorer acoustic cues or no cues. This paper tests the hypothesis by examining the distribution of a phonological contrast--the Russian plain/palatalized coronal stops /t/ and /tj/ in various syllable-final contexts. The results of a series of acoustic and perceptual experiments presented in this paper provide some support for the hypothesis: the relative salience of releases in different word boundary contexts (_#k > _#n, _#s) correlates strongly with the general patterns of neutralization of the contrast in similar word-internal contexts (_k > _n, _s) in Russian and other related languages. At the same time, the relative salience of VC transitions in different vowel contexts (a_ > u_ > i_) has apparently little to do with attested patterns of neutralization. The results suggest that some perceptual cues are phonologically more relevant than others, providing evidence for interactions between phonetics and phonology more complex than predicted by the hypothesis.
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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 | 0.003 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".