Geometry of plain weave fabric under shear deformation. Part II: 3D model of plain weave fabric before deformation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The main attempt of this investigation is to establish a model for evaluating internal geometry of woven fabric. A new concept about packing density of yarns inside of fabric is putted in forward and then internal geometry of fabric before deformation is predicted by common data of a fabric. A numerical analysis has been performed for two kinds of actual plain weave fabric on the basis of proposed model. The geometrical specifications of these fabrics are successfully evaluated. This model is to be expanded for predicting shear deformation of fabric in subsequent Part III (Kamali Dolatabadi & Kovař, 2009b Kamali Dolatabadi, M. and Kovař, R. 2009b. Geometry of plain weave fabric under shear deformation. Part III: 3D model of plain weave fabric under shear deformation. Journal of Textile Institute, 100: 387–399. [Taylor & Francis Online] , [Google Scholar]).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| 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