Input elaboration, head faithfulness, and evidence for representation in the acquisition of left-edge clusters in West Germanic
Bibliographic record
Abstract
Preliminaries Several recent investigations of the development of left-edge clusters in West Germanic languages have demonstrated that the relative sonority of adjacent consonants plays a key role in children's reduction patterns (e.g., Fikkert 1994, Gilbers and Den Ouden 1994, Chin 1996, Barlow 1997, Bernhardt and Stemberger 1998, Gierut 1999, Ohala 1999, Gnanadesikan this volume). These authors have argued that, for a number of children, at the stage in development when only one member of a left-edge cluster is produced, it is the least sonorous segment that survives, regardless of where this segment appears in the target string or the structural position that it occupies (head, dependent, or appendix). To illustrate briefly, while the more sonorous /S/ is lost in favour of the stop in /S/+stop clusters, /S/ is retained in /S/+sonorant clusters; similarly, the least sonorous stop survives in both /S/+stop and stop+sonorant clusters, in spite of the fact that it occurs in different positions in the two strings. To account for reduction patterns such as these, a structural difference between /S/-initial and stop-initial clusters need not be assumed. This would seem to fare well in view of much of the recent constraint-based literature which de-emphasises the role of prosodic constituency in favour of phonetically based explanations of phonological phenomena (see, e.g., Hamilton 1996, Wright 1996, Kochetov 1999, Steriade 1999, Côté 2000).
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".