Predictors of Extreme Negative Feelings Toward Coyote in Newfoundland
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
Human–coyote interactions have occurred since the arrival of the species to the island of Newfoundland in 1985. A mail survey (N = 786) of Newfoundland residents was conducted in 2008. The survey explored negative feelings toward coyotes. A four stage hierarchical multiple regression model examined how the dependent variable, “feelings,” was influenced by four independent blocks of variables: “existence beliefs,” “impact beliefs,” “fear,” and “experience and demographic characteristics.” Together the predictors explained 50% of the variability, with existence beliefs accounting for most of the variation (ΔR2 = . 45), followed by impact beliefs (ΔR2 = .024) and fear (ΔR2 = .018). The experience-demographic block of variables accounted for minimal influence (ΔR2 = .003) and was not statistically significant. The remaining variability might be explained by emotions. When exploring human–wildlife interactions it is important to understand the role of affect in the formation of attitudes as feelings influence the tolerance and ultimately the willingness to coexist with wildlife.
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 | 0.000 |
| 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