Bibliographic record
Abstract
BACKGROUND Afghanistan has traditionally been, and remains, an agrarian society, with the vast majority of the population living in rural areas. A large segment of this rural population is engaged in subsistence agriculture or nomadic herding of small ruminants and depends directly or indirectly on livestock for their livelihood. Oxen are still widely used for plowing; horse-drawn taxis are still commonly seen in towns and cities and in rural areas; and transport of goods to market often involves donkeys, camels, or horses. Wool is essential for the traditional carpet industry, and animal fat and protein play an important role in the Afghan diet. The national pastime, Buzkhazi, is like rugby, only played on horseback. In the past, livestock products such as cashmere fiber and karakul hides were important foreign-exchange earners for the country. In short, animals play a vital role in Afghan culture and the Afghan economy. However, 25 years of war and civil unrest, aggravated by an extended, severe drought from 1998 to 2001, have significantly reduced animal numbers in the country and reversed earlier improvements in animal husbandry.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.064 | 0.004 |
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".