Puffins, petrels, and places: Understanding human perceptions to prevent seabird mortality due to light pollution
Bibliographic record
Abstract
Abstract Fledging Hydrobates leucorhous (Leach’s Storm-Petrel) and Fratercula arctica (Atlantic Puffin), both globally vulnerable species, are regularly found stranded in coastal communities in Newfoundland and Labrador, Canada. Stranded birds require human intervention to survive. Anecdotal evidence indicated an apparent barrier in community engagement in helping stranded ... We assessed wildlife value orientations of local people as an early effort to support conservation actions to help stranded H. leucorhous and F. arctica. We administered a questionnaire to residents (n = 320) in four communities and analyzed words associated for H. leucorhous and F. arctica across wildlife value orientation typologies (traditionalists, distanced, pluralists, and mutualists). In general, questionnaire respondents associated more positive words with F. arctica than with H. leucorhous. Traditionalists (people who believe that wildlife should be used for human benefit) had the least positive associations for H. leucorhous and tended to associate F. arctica with place identity to a higher degree than mutualists (people who believe that humans and wildlife are meant to co-exist). Traditionalists were less knowledgeable about H. leucorhous than pluralists (persons believing in both human benefit over wildlife and wildlife protection). These results identify the need for outreach and education to bolster public awareness about H. leucorhous and their conservation needs. Co-promoting F. arctica and H. leucorhous conservation may be a strategy to improve community-based conservation initiatives and overcome negative perceptions about H. leucorhous.
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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 | 0.003 |
| 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 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".