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 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 | 0.001 | 0.001 |
| 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) | 0.002 | 0.001 |
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".