Is Medial Canthal Tilt a Powerful Cue for Facial Attractiveness?
Bibliographic record
Abstract
PURPOSE: To identify medial canthal tilt as an important cue used by judges in evaluating human female facial attractiveness. METHODS: An experimental study was conducted with the use of SuperLab Pro, and judges had to make a forced choice between unmodified faces and faces that had their medial canthal tilt accentuated through the use of Adobe Photoshop CS. RESULTS: Female faces with accentuated medial canthal tilt were preferred 93% of the time over unmodified faces (p < 0.0001). CONCLUSIONS: Medial canthal tilt appears to be a powerful cue used in judging human female facial attractiveness. Its power may be due to its relation to the neotenic and sexually dimorphic cue of palpebral fissure inclination.
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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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".