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Record W7055130089

Canada Goose Harvest and Hunter Activity in the Southern Illinois Quota Zone during the
\n 1976 Season

2009· article· en· W7055130089 on OpenAlexaboutno aff

Bibliographic record

VenueIDEALS (University of Illinois Urbana-Champaign) · 2009
Typearticle
Languageen
FieldEngineering
TopicLaser Design and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsGooseFishingPeriod (music)Natural (archaeology)
DOInot available

Abstract

fetched live from OpenAlex

During the 1976 Canada goose season in the southern Illinois quota zone, hunters made 44,080 trips to harvest 25,865 geese for a success rate of 0.59.The mean number of hunters per day was 1,633.Hunter success was consistently good throughout the 27-day season.Public hunting areas accounted for 25 percent of the total hunting effort, 16 percent of the harvest, and had a success rate of 0.38.Alexander county recorded 35 percent of the total hunting effort, 30 percent of the harvest, and had a success rate of 0.49.Union county had 22 percent of the hunter-trips, 23 percent of the harvest, and a success of 0.62.Williamson/Jackson counties took 43 percent of the trips and accounted for 47 percent of the harvest; success in these counties was 0.65.The population in the quota zone peaked lake in the season when an all-time high of 316,000 geese was recorded on December 14th.Age ratios among harvested geese were lower than in 1975, with 2.5 immatures per adult at Horseshoe Lake and 2.7 immatures per adult at Union County.

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 score0.949
Threshold uncertainty score0.102

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.007
GPT teacher head0.165
Teacher spread0.158 · 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
Published2009
Admission routes1
Has abstractno

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