Rural-urban differences in hunting and birdwatching attitudes and participation intent
Bibliographic record
Abstract
Outdoor recreation facilitates important connections to nature and wildlife, but it is perceived differently across population segments. As such, we expected that socio-demographic characteristics of individuals would influence intention to participate in outdoor recreation. We solicited 5,000 U.S. residents (n = 1,030, 23% response rate) to describe their perceptions of hunting and birdwatching. The influence of current and childhood community size (i.e., urban-rural) was examined as a potentially important predictor of intention to participate in hunting and birdwatching, along with attitudes, norms, and perceived behavioral control (PBC). Hunting intentions, attitudes, norms, and PBC were more positive when respondents maintained a residence in rural areas. Alternatively, birdwatching attitudes, norms, and PBC did not differ with current or childhood community size. Programs aimed at increasing participation in outdoor recreation should carefully consider the importance of the urban-rural residence gradient in the context of their objectives, especially for recruiting urban hunters.
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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 | 0.000 | 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) | 0.003 | 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".