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Record W3045513191 · doi:10.2307/j.ctv6gqqjf

Fishing for a Solution

2014· book· en· W3045513191 on OpenAlexafffundabout
Donald D. Barry, Bob Applebaum, Earl Wiseman

Bibliographic record

VenueUniversity of Calgary Press eBooks · 2014
Typebook
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsFisheries and Oceans Canada
FundersKillam TrustsEuropean Commission
KeywordsFishingFisheryBiology

Abstract

fetched live from OpenAlex

Fishing for a Solution provides a detailed, policy-based account of the development of Canada’s fisheries relations with the European Union. It covers over 35 years of this contentious international relationship, from the extension of Canada’s fisheries jurisdiction to 200 miles in 1977 and the creation of the Northwest Atlantic Fisheries Organization (NAFO) two years later, to the development of a proposed new NAFO Convention in 2007, which awaits formal approval. Based on the experience of participants from inside the deliberations and negotiations, the book explores the impact of Canada’s internal politics on international fisheries negotiations. For anyone interested in the workings of Canadian foreign policy, resource policy or in the complexities of managing international relations, it offers a unique account of the development of Canada-EU fisheries relations, blending the academic perspective of a long-time student of those relations with the insights of two former senior public servants who led the international affairs directorate of Canada’s Department of Fisheries and Oceans.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.077
Threshold uncertainty score0.213

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0080.005
Scholarly communication0.0100.007
Open science0.0010.004
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0640.021

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 head0.040
GPT teacher head0.257
Teacher spread0.217 · 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
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

Citations5
Published2014
Admission routes3
Has abstractyes

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