Bear trade in Poland: an analysis of legal and illegal international trade from 2000 to 2021
Bibliographic record
Abstract
Abstract Commercial trade is one of the leading threats to bears as they are targeted for trophies, food and medicines. While the threat from illegal trade and trafficking has been extensively studied in Asia, understanding of bear trade dynamics outside this region is limited. Poland is an end use destination for wildlife products such as trophies and wildlife-based traditional medicines. To gain an understanding of the bear trade in Poland, we conducted an analysis of (1) seizure data, (2) Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES) trade data and (3) online surveys of Polish websites. We found that the trade of bears in Poland predominantly involves a demand for traditional bear-based medicines and, to a lesser extent, trophies. While trade in bear-based medicines and trophies is permissible with appropriate permits, illegal trade in such commodities is occurring in violation of CITES and European Union Wildlife Trade Regulations and in case of brown bear specimens—also national laws. This may possibly be due to a lack of public awareness regarding laws governing the import and export of bear parts and derivatives in which case education and awareness raising programmes might prove beneficial in eradicating trafficking of bear-based medicines and trophies. The use of bear bile for traditional medicine in Eastern Europe has not been previously documented and merits further research as to its scale, the source of bears used for these purposes and the potential impacts to bear populations.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".