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Record W3150012720 · doi:10.1016/s0967-0653(97)80707-7

10.1016/s0967-0653(97)80707-7

2000· article· en· W3150012720 on OpenAlexvenueno aff
Hannesson, R gnvaldur

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine and fisheries research
Canadian institutionsnot available
Fundersnot available
KeywordsOverexploitationTragedy of the commonsFish stockCommonsFisheryStock (firearms)HerringFisheries managementFish <Actinopterygii>GeographyFishingNatural resource economicsEconomicsEcologyBiology

Abstract

fetched live from OpenAlex

Discusses of the commons with regard to fish resources in the North Atlantic, and points to the fact that the Atlantic cod has now been so heavily exploited that a strong regulation of fisheries is needed to preserve an exploitable stock. The author argues for exclusive economic zones dividing up the remaining loopholes among coastal nations and individually transferable quotas. The tradgedy of the commons The expression tragedy of the commons has long since become commonplace. This is not without reason. The tendency to overharvest common property resources has been confirmed over and over again, from the extinction of the American buffalo to the depletion of the Atlantic herring stocks. As to fish, the overexploitation is not immediately obvious from looking at aggregate figures. The world catch of fish increased almost fivefold from 1945 to 1993; or from less than 20 million tonnes to more than 80 million tonnes. But if we look closer the picture changes. The yield of the most valuable stocks has declined for years and some stocks have been almost totally depleted, like the northeast Atlantic herring stocks. The expansion has come from previously unexploited stocks, some of which now seem headed for a fate similar to the traditional

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.008
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0040.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0040.003
Science and technology studies0.0030.003
Scholarly communication0.0050.007
Open science0.0040.005
Research integrity0.0080.003
Insufficient payload (model declined to judge)0.9920.994

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 head0.008
GPT teacher head0.185
Teacher spread0.176 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2000
Admission routes1
Has abstractyes

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