Bonavista Bay Murre Hunters in Newfoundland and Labrador Propose Further Interaction with Biologists and Managers
Bibliographic record
Abstract
Thick-billed Murres Uria lomvia and Common Murres U. aalge, seabirds with low reproductive rates, delayed reproduction, and high adult survivorship, are hunted in Newfoundland and Labrador (NL) by non-Indigenous residents. The traditional hunt has a complex regulatory history as a result of NL joining Canada in 1949 and the protection of non-game species under the Migratory Bird Convention Act. Thirty hunters from the northeastern region of the island of Newfoundland were interviewed about their knowledge of murres, their hunting practices, and their opinions on current hunting regulations. While the hunters had detailed local species knowledge from the region they hunted, most had a limited understanding of the broader aspects of the species' ecologies, such as breeding locations. Most (76.6%) interviewees said that they would be willing to participate in harvest surveys if the surveys were made mandatory. Interviewees highlighted the need for resource managers to conduct on-the-ground hunter training and engagement. In general, sustainable harvests under current regulations are more likely to succeed if communities are actively engaged through consultations that encourage hunters to participate in conservation efforts.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".