Place Specification and Segmental Distribution in the Acquisition of Word-Final Consonant Syllabification
Bibliographic record
Abstract
Abstract This article focusses on data from two first language learners of Québec French, Clara and Théo. In both corpora, all word-final consonants are acquired before word-medial codas, except Clara’s [ʁ], which is acquired at the same time as medial codas. The behaviour of Clara’s [ʁ] is explained through the hypothesis that it is analysed by the child as placeless and that, in the unmarked case, place-specified consonants are syllabified word-finally as onsets, while placeless consonants are syllabified as codas. Supporting cross-linguistic evidence is provided from adult languages and from the acquisition of Japanese. Finally, data on the acquisition of Spanish are discussed. Based on distributional evidence, it is suggested that these learners of Spanish posit a coda syllabification for the word-final, place-specified coronal consonants of their language. These data support the view that default options are overridden when positive evidence steers the learner toward more marked options.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".