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Record W269577822

Canada-United States Cooperative Approaches to Shared Marine Fishery Resources: Territorial Subversion?

2009· article· en· W269577822 on OpenAlexaboutno aff
Ted L. McDorman

Bibliographic record

VenueMichigan Journal of International Law · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSubversionFisheryBusinessInternational tradeMarine conservationPolitical scienceLawBiologyPolitics
DOInot available

Abstract

fetched live from OpenAlex

This Essay will focus on how Canada and the United States have both succeeded and failed in adopting cooperative approaches to managing ocean fishery resources. A critical factor that has influenced these efforts is the introduction of an international legal construct dictating that States have exclusive sovereign rights respecting all marine living resources within 200 nautical miles of their shores. Cooperative approaches to managing transboundary marine living resources between Canada and the United States are necessary for two reasons. First, in the case of marine living resources, the resource pays scant attention to human-constructed national boundaries. Put another way, marine living resources challenge the entire idea of territory and boundaries. Therefore, for proper management of these transboundary resources that benefits both States, cooperation is necessary. Second, unlike respecting land, on salt water, as a result of each State having 200-nautical-mile zones, Canada and the United States have areas where both States claim exclusive national authority. These are areas where there are disputed maritime boundaries, and they exist between Canada and the United States on the Atlantic, Pacific, and Arctic coasts. Both for proper resource management purposes and for pragmatic "lets-not-fight" purposes, bilateral cooperation is required.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.546
Threshold uncertainty score0.653

Codex and Gemma teacher scores by category

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

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 head0.036
GPT teacher head0.267
Teacher spread0.231 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations7
Published2009
Admission routes1
Has abstractyes

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