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Historical Trends in Creel Limits, Length-based Limits, and Season Restrictions for Black Basses in the United States and Canada

2007· article· en· W2103971786 on OpenAlexaboutno aff
Craig P. Paukert, Michael C. McInerny, Randall D. Schultz

Bibliographic record

VenueFisheries · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMicropterusBass (fish)FisheryWinter seasonGeographyBiology

Abstract

fetched live from OpenAlex

We determined for largemouth bass (Micropterus salmoides), smallmouth bass) M. dolomeui), and spotted bass (M. punctulatus) historical trends in state- and province-wide creel limits, length limits, and season closures along with the rationale justifying these regulations. Based on data gathered via mail surveys and the Internet, 55 jurisdictions had state- or province-wide creel limits, minimum length limits, or season closures, with each regulation type enacted as early as pre-1900. Most early regulations were established to protect spawning bass, but providing equitable distribution of harvest and increasing the quality of bass catch or harvest were the most common rationales for current regulations. Spatial and temporal trends in regulations were similar among species, were affected by geographic location, were not affected by angler preference except for season closures, and were frequently uninfluenced by advances in scientific knowledge of black bass biology.

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 score0.080
Threshold uncertainty score0.161

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 studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.021
GPT teacher head0.223
Teacher spread0.202 · 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

Citations26
Published2007
Admission routes1
Has abstractyes

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