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Fleet dynamics and fishermen behavior: lessons for fisheries managers

2006· article· en· 331 citations· W2086488712 on OpenAlex· 10.1139/f06-072

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian venueIt was published in a Canadian venue.

No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Classifier prediction

metacan-v1-d91a1de5be90

Predictions imitate two machine teachers. Scores are not calibrated prevalence probabilities.

Classifier candidate
ObservationalTheoretical or conceptualNot applicable
Classifier consensus
Observational
Teacher imitation scores

Codex

Observational0.645
Theoretical or conceptual0.550
Not applicable0.007
Other design0.001
Science and technology studies0.001
Research integrity0.001
Simulation or modelling0.000
Case report0.000
Bench or experimental0.000
Scholarly communication0.000
Qualitative0.000
Bibliometrics0.000
Metaresearch0.000
Systematic review0.000
Open science0.000
Meta-epidemiology (narrow)0.000
Randomized trial0.000
Non-randomized trial0.000
Meta-epidemiology (broad)0.000
Meta-analysis0.000

Gemma

Observational0.103
Not applicable0.069
Theoretical or conceptual0.009
Simulation or modelling0.002
Science and technology studies0.002
Qualitative0.001
Case report0.000
Scholarly communication0.000
Open science0.000
Research integrity0.000
Bench or experimental0.000
Non-randomized trial0.000
Bibliometrics0.000
Metaresearch0.000
Meta-epidemiology (narrow)0.000
Meta-epidemiology (broad)0.000
Randomized trial0.000
Systematic review0.000
Meta-analysis0.000

Machine scores (provisional)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

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.

Opus teacher head0.021
GPT teacher head0.244
Teacher spread
0.223 how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

We review fleet dynamics and fishermen behavior from an economic and sociological basis in developing fisheries, in mature fisheries near full exploitation, and in senescent fisheries that are overexploited and overcapitalized. In all cases, fishing fleets behave rationally within the imposed regulatory structures. Successful, generalist fishermen who take risks often pioneer developing fisheries. At this stage, regulations and subsidies tend to encourage excessive entry and investments, creatin…

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.