More on (distinctive!) vowel length in historical French
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ABSTRACT While rejecting a claim for the disappearance of distinctive vowel length in historical French as ‘counterfactual’ (Picard, 2004: 3), Picard's own arguments in support of the existence of vowel length do not rise to the level of fact. Picard fails to differentiate between derived versus underlying (hence distinctive) features. Further, his assumptions regarding vowel length from the Middle French period on are ill founded. Regarding the truly minor vocalic contrasts that do exist in Canadian French mid and low vowels, Picard makes several unmotivated assumptions and unsupported assertions that preclude consideration of other, plausible scenarios for their existence. Minor vocalic contrasts such as these, with little to no functional load, can be modeled in phonological grammars without an unnecessary proliferation of phonological categories.
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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 | 0.000 | 0.001 |
| 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 | 0.001 |
| 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 it