Dominance effects as transderivational anti-faithfulness
Why this work is in the frame
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Bibliographic record
Abstract
This paper presents a theory of morphophonology based on a development in the theory of faithfulness in Optimality Theory. A new constraint type, anti-faithfulness, is proposed that evaluates a pair of related words and requires an alternation in the shared stem. This constraint type is motivated initially by a set of problems, e.g. morphological deletions, segmental exchanges and non-structure preserving processes, which show that morphophonology must encompass more than markedness–faithfulness interactions. The anti-faithfulness thesis is then applied to accentual processes in which affixes idiosyncratically cause deletion of accent in a neighbouring morpheme. It is argued that anti-faithfulness both motivates the observed deletion and accounts for its properties with principles that are generally available in phonological theory. Anti-faithfulness is then shown to extend naturally to the analysis of other affix-induced alternations, including accent insertions, shifts, and retractions of stress and tone, a result which distinguishes this theory from plausible alternatives.
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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 | 0.000 |
| 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) | 0.006 | 0.005 |
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