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Record W1510478799 · doi:10.24124/c677/200858

A Proposal for a Borderland Dispute Settlement Continuum Mechanism

2008· article· en· W1510478799 on OpenAlexaffvenueabout
Noemi Gal‐Or

Bibliographic record

VenueCanadian Political Science Review · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsKwantlen Polytechnic University
Fundersnot available
KeywordsCONTESTReputationPolitical scienceOpportunismEconomicsPolitical economyLaw and economicsInternational tradeLaw

Abstract

fetched live from OpenAlex

The malaise felt by both Canadians and Americans regarding several areas of trade does not exist in a vacuum. It is not difficult to surmise that besides the genuine tension owing to actual implementation of liberal trade principles in the trade practise between the two states, and to their diverging interpretations of these principles, lies also some political opportunism. Not only has the US pursued a unilateralist course in its trade relations with Canada; it did so also in matters security, which have created, at least a perception, of an unfavourable impact on Canadian economic interests. The US current beleaguered international reputation in matters foreign policy regarding both security and economic issues may therefore tilt the pendulum in Canada’s favour. From a power contest point of view, perhaps now is the time and opportunity for Canada to reap also international “moral” (juridical), in addition to economic, gains.

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)0.018
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.978
Threshold uncertainty score0.149

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.020
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.002
Science and technology studies0.0080.013
Scholarly communication0.0160.012
Open science0.0060.009
Research integrity0.0190.009
Insufficient payload (model declined to judge)0.0440.004

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 head0.030
GPT teacher head0.335
Teacher spread0.305 · 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 designTheoretical or conceptual
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

Citations0
Published2008
Admission routes3
Has abstractyes

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