Assessing the trade of Chinese Hwamei <i>Garrulax canorus</i> in the USA
Bibliographic record
Abstract
Summary The trade in Asian songbirds is contributing to declining populations of many species in the wild. The Chinese Hwamei Garrulax canorus is a popular songbird endemic to Asia that is traded both domestically and internationally. The songbird trade in the USA, particularly involving Asian songbirds, has not been well studied. We hypothesised that despite Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES) Appendix II regulations, Chinese Hwamei are traded illegally in the USA. We scrutinised the CITES Trade Database, US seizure and confiscation records, publicly available records, and websites to assess the imports and availability of Chinese Hwamei in the USA. Since the species was first listed in CITES Appendix II in 2000, there have been three reports of Chinese Hwamei imports into the USA, one of which included four live birds, compared with approximately 40 records of illegally imported birds. Online advertisements of Chinese Hwamei for sale show that both wild-caught and captive-bred birds are easily available. We believe this indicates that there is both legal and illegal trade of the species in the USA. Based on these findings we concluded that more research into the songbird trade, and specifically songbird trade in the USA, is warranted. We recommend additional assessments of CITES and non-CITES songbird species and encourage additional species protection when illegal trade is occurring. We also recommend that the relevant authorities in the USA better scrutinise the trade in non-native songbirds and take meaningful action against anyone found unlawfully importing and trading in illegally sourced songbirds. Finally, we recommend that the International Union for the Conservation of Nature (IUCN) Red List of Threatened Species includes international trade as a threat to the Chinese Hwamei in order to raise concern and motivate action for this songbird.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".