Position and place effects in Russian word-initial and word-medial stop clusters
Bibliographic record
Abstract
Studies of inter-gestural timing have shown that (i) word-initial obstruent clusters tend to exhibit less gestural overlap than word-medial or word-boundary clusters, and (ii) the degree of overlap is further affected by the place of articulation of the obstruents (Byrd, 1996; Chitoran, Goldstein, and Byrd, 2002). Both findings have been attributed to perceptual recoverability considerations. This paper presents results of a magnetic articulometer (EMMA) study of Russian word-initial and word-medial stop clusters (e.g., [pt]ashka little bird versus la[pt]a bat). Data collected from 3 native speakers of Russian show that clusters with coronals and dorsals as C1 ([tk], [kt], [kp], [tjm]/[djb]) exhibit less overlap word-initially than word-medially, while the cluster with the labial as C1 ([pt]) does not exhibit the same timing pattern. The findings are interpreted as providing additional support for the role of perceptual recoverability in intergestural timing. First, less overlap in word-initial clusters, compared to word-medial clusters, ensures better place recoverability of C1 (cf. Chitoran et al., 2002). Second, unreleased labials are more perceptually robust than unreleased coronals (Byrd, 1992; Surprenant and Goldstein 1998) and dorsals (Wright, 2001; Kochetov and So, 2005), and thus do not require the same degree of overlap. [Work supported by SSHRC.]
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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 | 0.001 | 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) | 0.000 | 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".