ADAPTASI KEDIH (Presbitis thomasi Raffles, 1821) TERHADAP RUANG HORIZONTAL DAN VERTIKAL DI HUTAN SEKUNDER GUNUNG PAROY, ACEH BESAR.
Bibliographic record
Abstract
The Thomas langur (Presbytis thomasi) is a primate endemic to Aceh, threatened with extinction due to hunting and habitat destruction. They are found not only in conservation areas but also in other areas and secondary forests. Mount Paroy is one of the important Thomas langur habitats that has been damaged due to encroachment by local communities. In this area, Thomas langur are often hunted because they are considered pests by farmers. The conservation status of Thomas langur is listed as Vulnerable by the IUCN and Appendix II by CITES. This habitat change has resulted in changes in the food supply pattern of Thomas langur. Food trees are replaced by plantation crops. Therefore, Thomas langur must be able to adapt to food sources and sleeping trees of non-forest species. This study aimed to determine the feeding behavior and adaptation of Thomas langur in disturbed secondary forests using exploratory survey methods and data collection techniques using line transect. Recorded data included the horizontal coordinates of the Thomas langur ' feeding points and the height of the trees used for feeding and resting. Data were analyzed using the Maximum Convex Polygon (MCV) method. Results obtained in the Mount Paroy habitat showed horizontal movement of 29 ha, and vertical space was used at altitudes below 10 m. For food, Thomas langur on Mount Paroy consumes more leaves.
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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 | 0.001 | 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) | 0.003 | 0.001 |
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".