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Record W7020871498

Migratory Bird HuntingActivity and Harvestfor the 2010 and 2011Hunting Seasons- July 2012

2012· article· en· W7020871498 on OpenAlexaboutno aff

Bibliographic record

VenueLincoln (University of Nebraska) · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsnot available
Fundersnot available
KeywordsWaterfowlGooseBrantaDoveAnatidaeWoodcock
DOInot available

Abstract

fetched live from OpenAlex

National surveys of migratory bird hunters were conducted during the 2010 and 2011 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 gallinule [Gallinula galeata] and purple gallinule [Pophyrio martinica]), 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 14,796,700 (±4%) ducks and 3,169,900 (±5%) geese in 2010, and almost 1.2 million waterfowl hunters harvested 15,880,900 (±6%) ducks and 2,868,500 (±5%) geese in 2011. Mallard (Anas platyrhynchos), green-winged teal (A. crecca), gadwall (A. strepera), wood duck (Aix sponsa), and blue-winged/cinnamon teal (Anas discors), were the 5 most-harvested duck species in the U.S., and Canada goose (Branta canadensis) was the predominant goose species in the goose harvest. About 959,900 dove hunters harvested 17,230,400 (±5%) mourning doves in 2010 and 955,700 hunters harvested 16,580,900 ± 5% in 2011. Woodcock hunters numbered about 138,300 in 2010 and 113,800 in 2011, and harvested 332,900 (±11%) birds in 2010 and 308,700 (±16%) birds in 2011. About 37,500 people hunted snipe in 2010 and 32,700 in 2011, and they harvested 118,200 (±37%) and 136,300 (±49%) snipe in 2010 and 2011, respectively. Coot hunters (about 50,500 in 2010 and 46,200 in 2011) harvested 302,600 (±50%) coots in 2010 and 416,600 (±36%) in 2011. Gallinule hunters (about 15,000 in 2010 and 2,200 in 2011) harvested13,700 (±87%) gallinules in 2010 and 7,600 (±100%) in 2011. About 17,000 rail hunters harvested 27,100 (±57%) rails in 2009 and 3,300 rail hunters harvested 14,300 (±50%) rails in 2011.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score0.120

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.003

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.

Opus teacher head0.010
GPT teacher head0.180
Teacher spread0.170 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

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