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Canada–USA Bilateral Fisheries Management in the Gulf of Maine: Under the Radar Screen

2007· article· en· W3124733312 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

VenueReview of European Community & International Environmental Law · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicInternational Maritime Law Issues
Canadian institutionsDalhousie University
Fundersnot available
KeywordsGroundfishFisheries managementBusinessFishingWork (physics)EnforcementFisheryFish stockPolitical scienceEnvironmental resource managementEnvironmental planningGeographyEnvironmental scienceEngineering

Abstract

fetched live from OpenAlex

Canada and the USA have developed a series of cooperative initiatives that address transboundary fisheries issues in the Gulf of Maine. The Canada–USA Steering Committee serves as an umbrella forum for discussing and coordinating transboundary management measures. Through the work of the Transboundary Resource Assessment Committee and the Transboundary Management Guidance Committee, the Steering Committee has overseen the development of joint scientific stock assessments and a sharing agreement for groundfish resources in the vicinity of the eastern Georges Bank. The bilateral Fisheries Enforcement Agreement helps ensure the success of such cooperative management initiatives by combating illegal fishing in the vicinity of the international boundary. However, the largely informal ‘under the radar screen’ arrangements, while positive on many fronts, to date fall short of fully implementing key principles of sustainable development, such as public participation, the ecosystem approach, integration and precaution.

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)0.002
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.779
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.014
GPT teacher head0.239
Teacher spread0.224 · 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