Differentiating Fine Hairs from Wild and Domestic Species: Investigations of Shatoosh, Yangir, and Cashmere Fibers
Bibliographic record
Abstract
The fine undercoat fibers removed from wild goats hunted for meat and trophy, principally belonging to subspecies of Capra ibex, are used as an alternative to Shatoosh, the hair of the endangered Tibetan antelope (Pantholops hodgsonii). Although currently legal, the large-scale use of these fibers (known as "Yangir"), and hybridization of ibex with domestic goats to improve fiber fineness and yield, would severely threaten the conservation of wild ibex. A SEM investigation shows morphological differences in the cuticle cell patterns of fine fibers from the domestic Cashmere goat, the wild Yangir goat, and the Tibetan antelope. A study of the DSC traces reveals differences in the enthalpy of denaturation of the crystallites. This information enables identification of these fibers, including those from lots submitted to dehairing processes, such as are commonly found in the animal fiber trade.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".