Perceptions of Hunting and Hunters by U.S. Respondents
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
Public acceptance of hunting and hunting practices is an important human dimension of wildlife management in the United States. Researchers surveyed 825 U.S. residents in an online questionnaire about their views of hunting, hunters, and hunting practices. Eighty-seven percent of respondents from the national survey agreed that it was acceptable to hunt for food whereas 37% agreed that it was acceptable to hunt for a trophy. Over one-quarter of respondents did not know enough about hunting over bait, trapping, and captive hunts to form an opinion about whether the practice reduced animal welfare. Chi-square tests were used to explore relationships between perceptions of hunters and hunting practices and demographics. Those who knew hunters, participated in hunting-related activities, visited fairs or livestock operations, or were males who had more favorable opinions on hunting. A logistic regression model showed that not knowing a hunter was a statistically significant negative predictor of finding it acceptable to hunt; owning a pet was statistically significant and negative for approving of hunting for a trophy.
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) | 0.000 | 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