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The North American Moat

2019· book-chapter· en· W2923423733 on OpenAlexaboutno aff
David Fitzgerald

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeePolitical scienceSupreme courtGlobeGuard (computer science)SovereigntyLawQuarter (Canadian coin)State (computer science)Government (linguistics)Principle of legalityDeferencePublic administrationGeographyArchaeologyMedicine

Abstract

fetched live from OpenAlex

Abstract The U.S. Coast Guard intercepted more than a quarter of a million migrants, including an unknown number of refugees, between 1982 and 2015. Practices developed by the United States to stop Haitians were then copied to prevent Chinese asylum seekers from crossing the Pacific. The 1993 Sale decision by the U.S. Supreme Court to allow refoulement on the high seas still stands. The fact that there are screenings at all, whatever their serious inadequacies, is evidence of diffuse international pressure articulated through the U.S. State Department and the influence of civil society. The Canadian government flirted with maritime refoulement but was constrained by greater deference to international law and the concern that openly flouting it would potentially damage Canada’s international reputation. The United States is a world leader in defining military bases strewn across the globe as territories under its control but not its sovereignty and thus spaces where asylum seekers have limited rights.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.680
Threshold uncertainty score0.637

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.001
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1690.034

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 head0.017
GPT teacher head0.257
Teacher spread0.240 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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