Categorical variation in lip posture is determined by quantal biomechanical-articulatory relations
Why this work is in the frame
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Bibliographic record
Abstract
A study that was conducted to examine why the lips should adopt such different postures in an attempt simply to modulate degree of constriction is presented. The lip musculature is modeled using a transversely anisotropic FEM material. The transverse direction of each element is interpolated from the muscle fiber path and represents the muscle's line-of-action. Stress is added in the transverse direction to represent passive muscle stress and active muscle stress. Different initial muscle settings produce regions in which large variations in input activation yield stably different degrees of constriction, all corresponding to the feature of labial. The article concludes that language speakers use these quantal regions in biomechanical-articulatory space to control constriction degree at the lips.
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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) | 0.003 | 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 it