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At the Gates of Fortress North America: Race-Ing the Spp and its Political Subject

2010· article· en· W2345529460 on OpenAlexvenueaboutno aff
Cynthia Dewi Oka, Alison J. Ayers

Bibliographic record

VenueStudies in Political Economy · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsRace (biology)Subject (documents)PoliticsFortress (chess)Political sciencePolitical economySociologyEconomic historyGender studiesHistoryLawAncient historyComputer science

Abstract

fetched live from OpenAlex

The events of 11 September 2001, as Judith Butler has noted, were experienced by Westerners as “a loss of their First Worldism.” North American deep integration is characterized, therefore, as an effort to retrieve a sense of invulnerability under the putative conditions of globalization and insecurity. As the powerful business lobby, the Canadian Council of Chief Executives (CCCE), asserted, “in the wake of the terrorist attacks of September 11, 2001, it…has become clear that North American economic and physical security are indivisible.” Accordingly, the Independent Task Force on the Future of North America, sponsored in 2005 by the CCCE, the US Council on Foreign Relations, and the Consejo Mexicano de Asuntos Internacionales, recommended “the creation by 2010 of a North American community to enhance security, prosperity and opportunity… Its boundaries will be defined by a common external tariff and an outer security perimeter within which the movement of people, products and capital will be legal, orderly and safe.”

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.527
Threshold uncertainty score0.941

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0290.013
Scholarly communication0.0090.005
Open science0.0010.006
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0210.001

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 head0.031
GPT teacher head0.336
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 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

Citations6
Published2010
Admission routes2
Has abstractyes

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