MétaCan
Menu
Back to cohort
Record W2141926347 · doi:10.1177/030437540603100203

The Global Visa Regime and the Political Technologies of the International Self: Borders, Bodies, Biopolitics

2006· article· en· W2141926347 on OpenAlexaff
Mark B. Salter

Bibliographic record

VenueAlternatives Global Local Political · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsWilfrid Laurier UniversityUniversity of Ottawa
Fundersnot available
KeywordsBiopowerVanguardSovereigntyGlobalizationPoliticsInternational relationsPolitical scienceInternational communityPolitical economyGlobal politicsFrontierPopulationSociologyLawGeography

Abstract

fetched live from OpenAlex

This article examines the micropolitics of the border by tracing the interface between government and individual body. In the first act of confession before the vanguard of governmental machinery, the border examination is crucial to both the operation of the global mobility regime and of sovereign power. The visa and passport systems are tickets that allow temporary and permanent membership in the community, and the border represents the limit of the community. The nascent global mobility regime through passport, visa, and frontier formalities manage an international population through and within a biopolitical frame and a confessionary complex that creates bodies that understand themselves to be international. The author charts the way that an international biopolitical order is constructed through the creation, classification, and contention of a surveillance regime and an international political technology of the individual that is driven by the globalization of a documentary, biometric, and confessionary regime. The global visa regime and international borders are crucial in constructing both international mobile populations and international mobile individuals.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.021

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 studies0.0040.028
Scholarly communication0.0090.006
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.007
GPT teacher head0.301
Teacher spread0.295 · 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

Citations317
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueAlternatives Global Local PoliticalSame topicMigration, Refugees, and IntegrationFrench-language works237,207