Bibliographic record
Abstract
Abstract French liaison is a type of external sandhi involving the use of a special consonant-final allomorph before vowel-initial words. Consonants occurring at the end of these allomorphs are challenging for phonological theory because of evidence that their prosodic and segmental realization is intermediate between the realizations of word-final and word-initial consonants. This puzzling behavior of French liaison has been used to motivate new phonological and lexical representations, including floating consonants, lexical constructions and gradient symbolic representations. This paper proposes an alternative analysis: the variable realization of liaison is derived as a paradigm uniformity effect, assuming traditional phonological and lexical representations. In a Word1-Word2 sequence, the liaison consonant at the boundary between the two words ends up acquiring properties of both word-final and word-initial consonants because of a pressure to make contextual variants of Word1 and Word2 similar to their citation forms. The proposal is implemented in a probabilistic constraint-based grammar including paradigm uniformity constraints and is shown to account for the intermediate behavior of liaison both in terms of prosodic attachment and segmental realization. The paper provides evidence for two key predictions of this analysis, using judgment data on the prosodic attachment of liaison consonants in European French and phonetic data on the interaction between liaison and affrication in Quebec French.
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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 | 0.003 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".