Public Attitudes toward Black Bears (Ursus americanus) and Cougars (Puma concolor) on Vancouver Island
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract The sharp increase in the human population of Vancouver Island; the urban development policy favoring forest fragmentation and smaller, scattered settlements; and the relatively sizable population of large predatory mammals have contributed to one of the highest human-large predator contact zones in North America. Although some studies have evaluated public attitudes toward larger carnivores from urban/rural, gender, and generational perspectives, few have focused on black bears and cougars on the British Columbia coast. In this study, four hundred people in the densely populated southeast corner of Vancouver Island were interviewed about their attitudes toward black bear and cougar presence and behavior. The majority of interviewees had positive attitudes toward both bears and cougars, and were opposed to the shooting of carnivores, preferring trapping and removal. Contrary to expectation, few respondents saw carnivores as threats to livestock, companion animals, or children. Both black bears and cougars were perceived as serving useful functions as part of the island’s heritage and cultural development (through hunting, tourism, and recreation).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 it