Timing patterns of word-initial obstruent-sonorant clusters in Russian.
Bibliographic record
Abstract
This study investigates intra-cluster timing patterns in Russian obstruent-sonorant clusters as a function of their segmental composition. The results confirm for Russian a velar-nasal (/kn, gn/) vs. velar-lateral (/kl, gl/) timing difference like the one reported for German [2], but this could not be extended to labiallateral/nasal clusters (/vl, ml/ vs. /vn, mn/), which were all timed similarly. In addition, place of articulation of C1 (velar vs. labial) determined different timing patterns when C2 was a nasal (longer lags for /kn, gn/ than for /vn, mn/), but not when C2 was a lateral (/pl, bl, kl, gl/). The results support a place of articulation order effect [3] for obstruent-nasal but not for obstruent-lateral clusters. The pattern of results was robust across two speaking rates. We discuss how aerodynamic and perceptual requirements on intra-cluster timing may explain the patterns observed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.000 | 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 teacher head, 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".