2011-2012 Illinois Waterfowl Hunter Survey: Behavior, Satisfaction, and Video-Watching of Waterfowl Hunters
Bibliographic record
Abstract
A total of 2,503 (52%) Illinois waterfowl hunters responded to the 2011-2012Illinois Waterfowl Hunter Survey. Hunters reported spending 1,147,037 days afield, an increase of 16% from the 985,075days devoted during the 2010-2011license year. Waterfowl harvest increased 12% from 513,882 during 2010-2011 to 577,654 during 2011-2012. Duck harvest estimates for the regular duck season were as follows: 222,405mallards (Anas platyrhynchos), 54,294wood ducks (Aix sponsa), and 150,786 other ducks. A total of 21,227 teal (Anas spp.) were harvested during the September teal season.Goose hunters harvested 75,061Canada geese (Branta canadensis) during the regular Canada goose season, a 25% decrease from the 99,422Canadageese harvested during the 2010-2011regular goose season. Hunters harvested 18,790Canada geese during the September Canada goose season, a 10% increase from the previous year. During the YouthWaterfowl Hunting Season, 6,325 adults took 8,642youths waterfowl hunting, a 16%increase from the 7,452youths that participated in the 2010-2011Youth Waterfowl Hunting Season. We discuss the use of public duck permits, hunter satisfaction with the waterfowl seasons, and hunter viewing habits regardingwaterfowl hunting videos.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".