Bibliographic record
Abstract
A set of 144 /aC(C)a/ stimuli were constructed (inspired by, e.g., B. Repp, Percept. Psychophys. 24, 471–485 (1978)]). Each consisted of: a vocoid (135 ms steady state followed by 50 ms VC closing transitions); a silent portion; and another vocoid (50 ms CV opening transition plus 250 ms steady state). Four different silent periods [80, 120, 190, and 300 ms] were crossed with six closing transition patterns (ranging from b-like to d-like closures) and with six analogous opening transitions. Thirteen listeners classified each stimulus ten times. Polytomous logistic regression showed that singletons, heterorganic clusters, and geminates all have distinct duration weights. Contrary to expectations, results for place were remarkably simple. Weights for closing transitions show labial closures (/b, bd, bb/) to be widely separated from the coronal closures (/d, db, dd/), but are otherwise homogeneous. Weights for opening cues show a similar dichotomy of labial releases /b, db, bb/ versus coronal releases (/d, bd, dd/); here, however, the singleton /b/ differs slightly from the other labials. A related experiment in Dutch will be discussed and results from both experiments will be compared against proposals from the literature and our own models. [Work supported by SSHRC.].
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".