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Record W4413072817 · doi:10.70227/sdjk2584

The History behind the Canada-U.S. Convention on Great Lakes Fisheries: A Seven-Decade Effort

2022· article· en· W4413072817 on OpenAlexaboutno aff
Marc Gaden, Cory O. Brant, Robert Lambe

Bibliographic record

VenueLaurentian : · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicTransboundary Water Resource Management
Canadian institutionsnot available
Fundersnot available
KeywordsTreatyPoliticsCommissionParliamentPolitical scienceNegotiationConventionPetromyzonHarmUnited Nations Convention on the Law of the SeaFisheryLawLamprey

Abstract

fetched live from OpenAlex

Canada and the USA share the Great Lakes, and, for most of the region’s history, cross-border collaboration over the fishery was nonexistent, resulting in serious economic and ecological harm. This publication, which covers the late 1800s to 1955, traces the efforts to establish a binational treaty to govern the Great Lakes fishery. We explore the circumstances Great Lakes fishers found themselves in at the dawn of the 20th century, the chaos caused when multiple jurisdictions did not cooperate (called “divided governance”), the political pressures stakeholders exerted to eliminate agreements they disliked and promote agreements they liked, and the scientific community that made biological cases to act and, occasionally, stepped into the political fray. The road to establish a permanent body to ensure collaboration was long and tortuous and included two failed attempts at a treaty, one attempt in 1908 and another attempt in 1946. A third treaty attempt, the 1954 Convention on Great Lakes Fisheries between the United States and Canada, succeeded, which created the Great Lakes Fishery Commission as a permanent mechanism for bilateral cooperation. By 1954, influential persons could no longer tolerate the governments’ unwillingness to address severe declines in fish stocks and concomitant economic losses, inconsistent science, and the Sea Lamprey Petromyzon marinus invasion. This publication draws from hearings and debates in the Parliament of Canada and the U.S. Congress, national and international boards of inquiry, previously confidential documents that contain the strategies of those engaged in bilateral negotiations, and the literature.

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)0.012
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.105
Threshold uncertainty score0.760

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.007
Science and technology studies0.0180.016
Scholarly communication0.0170.005
Open science0.0020.006
Research integrity0.0070.011
Insufficient payload (model declined to judge)0.0050.001

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 head0.015
GPT teacher head0.218
Teacher spread0.203 · 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 designQualitative
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

Citations2
Published2022
Admission routes1
Has abstractyes

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