Status and Future Management of Grey Goral (Naemorhedus goral bedfordi) in Pakistan
Bibliographic record
Abstract
Himalayan grey goral (HGG: Naemorhedus goral bedfordi) is endemic to Himalyas and regarded as Endangered/ Threatened. Study was designed to collect information on population biology, habitat, food and behaviour of population of HGG distributed in Pakistan, trying to understand its present status and conservational potentials. Our data suggest that the population, habitat and the species has sufficient potentials for its survival in the area, if protection from human predation is afforded to the species. HGG population is isolated into 7-8 subpopulations and is facing male-biased mortality, therefore is likely to face bottleneck effects and subsequent population crash ascribed to loss of males and genetic diversity. HGG population has a slow growth rate, attributable to internal species potentials and the natural predation of fawns/ sub-adults, which is difficult to be enhanced therefore range management strategy is suggested as management solution, with emphasis on protection from hunting, habitat management, mass awareness and supportive research. International cooperation is suggested as part of HGG population extends into Indian part of Himalayas, including Indian Kashmir.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".