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Record W4394945536 · doi:10.62608/2158-0669.1397

Longo, S., Clausen, R. & Clark, B. The Tragedy of the Commodity: Oceans, Fisheries and Aquaculture. New Brunswick: Rutgers University Press, 2015.

2017· article· en· W4394945536 on OpenAlexaboutno aff
Tarique Niazi

Bibliographic record

VenueJournal of International and Global Studies · 2017
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy and Sustainability Research
Canadian institutionsnot available
Fundersnot available
KeywordsFisheryCommodityAquacultureTragedy (event)Tragedy of the commonsFish <Actinopterygii>Environmental ethicsEconomic historyEconomicsArtPhilosophyPolitical scienceBiologyLawLiteratureMarket economy

Abstract

fetched live from OpenAlex

The authors argue that it is not the communal ownership of the commons that is at the root of ecological degradation and depletion, as was assumed by Hardin.Rather, it is the commodification of the commons that is wreaking havoc on natural reserves.The authors trace the intellectual genesis of Hardin's thesis to fishery economists' analyses of the 1950s.Of these, they cite the works of H. Scott Gordon, Anthony Scott, and Milner Schaffer as having shaped Hardin's thinking on common property resources.This body of works collectively advocated property rights in the commons, which finally came to found Hardin's tragedy of the commons thesis.In 1954, Gordon applied economic analysis to fisheries as a common property resource and concluded that the natural resources of the sea yield no economic rent because they are not

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.090
Threshold uncertainty score0.178

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.006
Science and technology studies0.0040.006
Scholarly communication0.0080.011
Open science0.0020.002
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0230.005

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 head0.033
GPT teacher head0.301
Teacher spread0.268 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2017
Admission routes1
Has abstractyes

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