CONSERVATION THREATS TO DICE SNAKES (NATRIX TESSELLATA) IN GOLEM GRAD ISLAND (FYR OF MACEDONIA)
Bibliographic record
Abstract
Most conservation efforts are channeled toward highly endangered species. However, snake populationsdecline rapidly worldwide, and many species that are currently classified as not threatened (e.g. LC - least concern, IUCNRed List) may well rapidly fall into the threatened categories. Yet, common species attract little attention. The principle,that it is more efficient to prevent disasters than to cure effects, is not taken into account. Dice Snakes (Natrix tessellata)offer a typical example of this situation. This species is one of the most widespread and polymorphic snake of the planet.Very large populations occur in the Balkans. On Golem Grad Island (the single island of FYR of Macedonia), aremarkable population of Dice Snakes suffers from recent assaults. Thousands of snakes are killed every year in the netsset by poachers, notably gravid females, raising population viability concerns. Protecting Dice Snakes, other reptiles (e.g.tortoises, vipers, and lizards) and the whole eco-system of Golem Grad Island would require moderate efforts:application of official rules, summer attendance, delivery of official permits to local people (including fishermen), andcontrolling tourism. In this paper, we addressed a central issue: does illegal fishing represent a potential threat to DiceSnakes? Our data suggest that recent increase of illegal fishing correlates with population decline.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".