Bibliographic record
Abstract
McCarthy's (2006) OT-CC incorporates derivational effects in Optimality Theory in the form of faithfulness violation recorded in candidate chains. These chains are subject to the evaluation by precedence constraints, which checks upon the order of violation. This paper applies the proposed OT-CC in analyzing both overapplication and underapplication opacities involving flapping. In General American English, Flapping interacts with Vowel Lengthening. Vowels are long before a flap that comes from /d/. But they remain short before a flap derived from underlying /t/: a case of underapplication. In Canadian English, Flapping interacts with Raising. Diphthongs are raised only before a voiceless consonant. But we find raised diphthongs before a flap showing the effect of typical overapplication. It is shown that both types of opacity can be consistently analyzed within the OT-CC framework. The proposal can obviate controversial proposals such as Local Constraint Conjunction or Sympathy Theory.
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How this classification was reachedexpand
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 | 0.000 |
| 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".