Illinois Waterfowl Harvest, Hunter Activity, and Attitudes Toward Teal/Duck/Goose \n Regulations and Goose Harvest Monitoring System, Plus Ages of Hunters, 1995-96 Season
Bibliographic record
Abstract
Purchasers of the previous year's (1994) Illinois Migratory Waterfowl Stamp were sampled via mail questionnaire to obtain information on waterfowl harvest, hunter activity, and attitudes toward selected issues, during the 1995 season (60,564 stamps were sold in 1995).Of 2,675 respondents (68% response), 414 (15%) did not purchase a stamp again in 1995.Thus, the sample size was reduced to 2,261 respondents, 88% of which hunted waterfowl in Illinois in 1995-96.An estimated 55,454 hunters (4% more than in 1994) expended 884,328 days afield (8% more than in 1994) and harvested 498,854 waterfowl (50% more than in 1994).The ratio of duck hunters to goose hunters was 1.15:1 in 1995-96.During the September teal season, 9,123 hunters spent 24,865 days afield and harvested 19,731 teal (59% more than in 1994).During the regular duck season (increased from 40 to 50 days), 42,499 hunters expended 482,620 days afield and harvested 377,292 ducks (53% more than in 1994) and 3,386 coots.Among duck hunters, 40% used private areas, 27% used public areas, and 33% used both types of areas.During the experimental early September giant Canada goose season in 9 northeastern counties (Region 2), 2,591 hunters spent 9,502 days afield and harvested 2,784 Canada geese.During the regular goose season, 37,060 hunters devoted 367,341 days afield to harvest 92,478 Canada geese (36% more than in 1994) and 3,183 other geese.The Canada goose harvest included.35,414 taken in the Southern Illinois Quota Zone, 5,877 taken in the Rend Lake Quota Zone, 5,902 taken in North Quota Zone Counties, and 15,684 taken in Central Quota Zone Counties, which collectively accounted for 68% of the statewide harvest.The estimated goose harvest in the North and Central Quota Zone Counties was 25% less than the harvest recorded for these counties via the phone-in monitoring system.In the Southern Illinois Quota Zone, 48% of the Canada goose harvest occurred in Williamson county.In the Rend Lake Quota Zone, 70% of the Canada goose harvest took place in Jefferson County.Statewide, 58%.of the goose hunters used private areas, 11% used public areas, and 31% used both types 'of areas. .'Among goose hunters, 4,988 (13%) hunted (or planned to hunt) snow geese during the late (to March 10) season in Illinois.The harvests of Canada geese by county, zone, and region are presented in Appendix A.
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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 | 0.000 | 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) | 0.004 | 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".