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Net loss: A cost-benefit analysis of the Canadian Pacific salmon fishery

2000· article· en· W2066232081 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Policy Analysis and Management · 2000
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine and fisheries research
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsEconomic rentFisheryPublic policyBusinessEconomicsFisheries managementPrivate sectorGovernment (linguistics)Resource (disambiguation)Cost–benefit analysisNet profitAgricultural economicsNatural resource economicsProfit (economics)FishingEconomic growthEcologyMicroeconomics

Abstract

fetched live from OpenAlex

This article applies cost-benefit analysis to the Canadian Pacific commercial salmon fishery. It demonstrates that government policies to preserve the fishery have resulted in higher net social costs than would have resulted from a "do nothing" policy, notwithstanding the rent dissipation associated with unconstrained resource exploitation. The value of landings and the private costs of the harvest over a cycle (1988-1994) are calculated. On average, fishers extracted rents of C$34.7 million (in constant 1995 Canadian dollars) annually. The public costs of enhancing the resource and organizing and policing the harvest are estimated. When these costs are included in the calculation, net benefits drop to an average of negative C$55.6 million annually. This translates into a net present value (NPV) of the salmon fishery of negative C$784. The effects on NPV of both modest policy changes implemented in 1996-1997 and of a more dramatic but credible fleet rationalization program are provided. The results indicate that further policy change is called for. More generally, the study shows that policy reform that would significantly benefit both the private sector (through reduced rent dissipation) and the public sector (through reduced government expenditures) can be surprisingly difficult. © 2000 by the Association for Public Policy Analysis and Management.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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: none
Teacher disagreement score0.596
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0140.000

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 head0.010
GPT teacher head0.245
Teacher spread0.236 · 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