A feasibility study for the establishment of a national wildlife health centre in Sri Lanka
Bibliographic record
Abstract
Sri Lanka is a tropical nation within a zoogeographic zone that is at high risk for infectious disease emergence. In 2010, a study was conducted on the feasibility of enhancing capacity in Sri Lanka to manage wildlife diseases through the establishment of a national wildlife health centre. The Canadian Cooperative Wildlife Health Centre was assessed as a potential model for adaptation in Sri Lanka. Interviews and group meetings were conducted with potential key participants from the Sri Lankan Departments of Wildlife Conservation and Animal Production and Health, and the Faculty of Veterinary Medicine and Animal Science of the University of Peradeniya. In addition, site visits were made to potentially participating facilities and the literature on best practices in building scientific capacity was consulted. With strategic enhancements in education and training, additional personnel, improvements in transportation and diagnostic facilities, and central coordination, Sri Lanka appears very well positioned to establish a sustainable wildlife health centre and programme.
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How this classification was reachedexpand
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 | 0.008 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".