Migratory Bird HuntingActivity and HarvestDuring the 2007 and 2008Hunting Seasons
Bibliographic record
Abstract
National surveys of migratory bird hunters were conducted during the 2009 and 2010 hunting seasons. Hunters of the following types of migratory birds were surveyed: waterfowl (family Anatidae), doves (mourning [Zenaida macroura] and white-winged [Z. asiatica]), bandtailed pigeon (Patagioenas fasciata), American woodcock (Scolopax minor), Wilson’s snipe (Gallinago delicata), American coot (Fulica americana), gallinules (Common moorhen [Gallinula chloropus] and purple gallinule [Porzana carolina]), and rails (king rail [Rallus elegans], clapper rail [R. longirostris], Virginia rail [R. limicola], and sora [Coturnicops noveboracensis]). About 1.1 million waterfowl hunters harvested 13,139,800 (±4%) ducks and 3,327,000 (±5%) geese in 2009, and about 1.1 million waterfowl hunters harvested 14,796,700 (±4%) ducks and 3,169,900 (±5%) geese in 2010. Mallard (Anas platyrhynchos), green-winged teal (A. crecca), gadwall (A. strepera), blue-winged/cinnamon teal (A. discors), and wood duck (Aix sponsa) were the 5 most-harvested duck species in the U.S., and Canada goose (Branta canadensis) was the predominant species in the goose harvest. About 974,400 dove hunters harvested 17,354,800 (±6%) mourning doves in 2009 and 959,900 hunters harvested 17,230,400 ± 5% in 2010. Woodcock hunters numbered about 109,000 in 2009 and 138,300 in 2010, and harvested 238,400 (±15%) birds in 2009 and 332,900 (±11%) in 2010. About 29,400 people hunted snipe in 2009 and 37,500 in 2010, and they harvested 83,500 (±45%) and 118,200 (±37%) snipe in 2009 and 2010, respectively. Coot hunters (about 31,100 in 2009 and 50,500 in 2010) harvested 219,000 (±34%) coots in 2009 and 302,600 (±50%) in 2010. Gallinule hunters (about 2,300 in 2009 and 15,000 in 2010) harvested 7,400 (±66%) gallinules in 2009 and 13,700 (±87%) in 2010. About 7,800 rail hunters harvested 36,100 (±62%) rails in 2009 and 17,000 rail hunters harvested 27,100 (±57%) rails in 2010.
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.
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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".