Female Hunting Participation in North America and Europe
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
Data from 13 European countries, 50 states in the United States, and 6 Canadian provinces/territories were used to examine the relationship of aggregate level variables on female participation in hunting. Overall, 8% of the hunters were female. The analysis showed a strong positive influence of the proportion of male hunters in society on female hunting participation. This key role of males is consistent with previous individual-level studies of female participation. A greater proportion of females hunted in states and countries with larger areas. The influences of the proportion of the population living in rural areas and population density appeared to be largely mediated by the percentage of male hunters. In the United States we found more female hunters in states with lower levels of income and lower levels of female education although this was not the case in Europe. A decline in male participation will be likely to affect female participation as there are fewer males to socialize them into hunting.
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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