An investigation of the assessment of fabric drape using three-dimensional body scanning
Why this work is in the frame
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Bibliographic record
Abstract
This investigation explores how information on air gaps obtained from three-dimensional (3D) body scanning can be used to evaluate the drape of fabrics. Three-dimensional images of draped fabrics differing in physical and mechanical properties were acquired through 3D body scanning and the air gap distances and distribution between the outside edge of a cylinder and the fabric determined. Results demonstrate an inverse relationship between the overall average air gap distance and the amount of fabric drape. Findings were also compared to drape data obtained from the traditional cantilever and drapemeter methods. Not only does the 3D body scanning approach provide a measure of the degree of fabric drape but can also provide a more complete description of drape compared to traditional methods, as information about a fabric's draped appearance along the entire length of the fabric can also be obtained.
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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 | 0.001 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 it