Migratory bird hunting activity and harvest duringthe 1999 and 2000 hunting seasons Final Report April 2006
Bibliographic record
Abstract
National surveys of waterfowl, dove, band-tailed pigeon (Columba fasciata), American woodcock (Scolopax minor), common snipe (Gallinago gallinago), rail, gallinule, and American coot (Fulica americana) hunters were conducted during the 1999 and 2000 migratory bird hunting seasons. About 1.3 million waterfowl hunters harvested 16,188,300 (±3%) ducks and 3,455,700 (±5%) geese in 1999, and a similar number of waterfowl hunters harvested 15,966,200 (±4%) ducks and 3,716,000 (±7%) geese in 2000. Mallard (Anas platyrhynchos), gadwall (A. strepera), green-winged teal (A. crecca), wood duck (Aix sponsa), and blue-winged teal (A. discors) were the most-harvested duck species, and Canada goose (Branta canadensis) was the predominant goose species in the harvest. About 1.2 million dove hunters harvested 24,437,300 (±4%) mourning doves (Zenaida macroura) in 1999 and 26,295,300 (±4%) in 2000. Woodcock hunters numbered about 170,600 in 1999 and 154,500 in 2000, and they harvested 444,800 (±20%) birds in 1999 and 390,900 (±20%) in 2000. Among the lesser-hunted species, about 40,200 people hunted snipe in 1999 (29,200 in 2000), and they harvested 276,500 (±56%) and 86,400 (±52%) snipe in 1999 and 2000, respectively; rail hunters (11,900 in 1999 and 6,900 in 2000) harvested 31,600 (±41%) rails in 1999 and 15,300 (±56%) rails in 2000; about 4,000 hunters harvested 32,900 (±74%) gallinules in 1999 and 20,900 (±70%) in 2000; and about 40,000 coot hunters harvested 236,000 (±26%) coots in 1999 and 335,000 (±45%) in 2000.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 0.005 |
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".