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Record W627274390

2011-2012 Illinois Waterfowl Hunter Survey: Behavior, Satisfaction, and Video-Watching of Waterfowl Hunters

2012· article· en· W627274390 on OpenAlexaboutno aff
Mark G. Alessi, Craig A. Miller, Linda K. Campbell

Bibliographic record

VenueIDEALS (University of Illinois Urbana-Champaign) · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsnot available
FundersU.S. Fish and Wildlife ServiceIllinois Department of Natural Resources
KeywordsWaterfowlGeographyFisheryEcologyHabitatBiology
DOInot available

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.015
GPT teacher head0.207
Teacher spread0.192 · 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 teacher head, not a consensus.

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

Citations1
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueIDEALS (University of Illinois Urbana-Champaign)Same topicAvian ecology and behaviorFrench-language works237,207