Throwing Caution to the Wind: The Global Bear Parts Trade
Bibliographic record
Abstract
The exploitation of bears occurs in a myriad of forms. Bear baiting, abuse of bears in entertainment, habitat destruction, and the legal and illegal trade of bear parts all contribute to the decline of the bear. The market demand for bear gallbladders and bile is on the rise and is negatively impacting bear populations worldwide. Mounting evidence points to a systematic pattern of killing bears in the United States and Canada in order to satisfy the demand for bear parts in consuming nations, primarily Asian markets. The bear parts trade is international in scope and difficult to regulate and contain. The current approach of trying to regulate the legal bear parts trade on a state-by-state basis in the United States and on a country-by-country basis globally has failed, and has actually facilitated the illegal trade. It is time to recognize the usefulness, if not the necessity, for national legislation uniformly prohibiting commercialization of bear viscera. In addition, an international moratorium on global trade in bear parts and derivatives is long overdue and much needed.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.012 |
| Scholarly communication | 0.010 | 0.012 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.015 | 0.015 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".