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Record W1806659429 · doi:10.4337/9781035335718.00015

Fish Wars Revisited: A Stochastic Incomplete-Information Harvesting Game

2003· book-chapter· en· W1806659429 on OpenAlex

Why this work is in the frame

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

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
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.

Bibliographic record

VenueEdward Elgar Publishing eBooks · 2003
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicMarine and fisheries research
Canadian institutionsnot available
Fundersnot available
KeywordsStock (firearms)Fish stockWelfareFish <Actinopterygii>FisheryProductivityComputer scienceEconomicsEnvironmental resource managementGeographyBiologyMarket economy

Abstract

fetched live from OpenAlex

This study employs a spatially distributed stochastic extension of the classical “fishwar” harvesting game. The model addresses the bioeconomic impact of exploiting a trans-boundary fish stock in a stochastic marine environment subject to natural fluctuations and long-term regime changes. Our goal is to study the evolution of the fishery, either with cooperative or non-cooperative harvesting, when the harvesting fleets possess only limited, possibly asymmetric, information of environmental changes. More specifically, we shall investigate how such information limitations and asymmetries will influence harvesting strategies and thus the outcome of the game. In particular we shall compare game versions that incorporate alternative information structures to determine the effect, on the evolution of the fish stock and the payoffs to the fleets, of an increase of available information (or a reduction in its degree of asymmetry). It will often be the case that, with competitive harvesting, information enrichment will be destructive both to the biological resource and to the welfare of the competing harvesters. This circumstance casts light on the design of cooperative institutional arrangements that will be stable in the presence of imperfectly predictable environmental stochasticity. As an illustration we examine, in light of the model, the history of the long-running dispute between the United States and Canada over management of their bi-national Pacific salmon fishery. The Stochastic Split Stream model, developed here, is based loosely on Canadian-U.S. harvest competition over Canada’s Fraser River sockeye salmon stock. Fraser sockeye stocks vary considerable over time both in biological productivity and in their return migration route around Vancouver Island and, thus, their accessibility to the two national fleets. In addition, the model sheds light on other aspects of the dispute. Our analysis focuses on the effects of a pronounced warming in coastal ocean conditions that began the mid-1970s and continued for two decades. This climatic regime shift contributed to dramatic increases in Alaskan salmon abundance, declining ocean survival rates for southern salmon populations and changes in the migration behavior of Fraser River sockeye that favored the Canadian fleet. These unanticipated changes destabilized cooperation under the terms of the 1985 Pacific Salmon Treaty. The positions taken by Alaska, Canada and the southern U.S. jurisdictions during the subsequent period of turmoil and renegotiation are consistent with our model results.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.456
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0030.003
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0130.001

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 head0.222
Teacher spread0.201 · 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