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Record W2054841248 · doi:10.1080/08865655.2010.9695783

Virtual borders, data aliens, and bare bodies: Culture, securitization, and the biometric state

2010· article· en· W2054841248 on OpenAlexvenueno aff
Javier Durán

Bibliographic record

VenueJournal of Borderlands Studies · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Security and Public Health
Canadian institutionsnot available
Fundersnot available
KeywordsSecuritizationBiometricsControl reconfigurationNarrativeState (computer science)SociologyComputer securityPerceptionRepresentation (politics)Power (physics)Internet privacyPolitical scienceLawBusinessComputer sciencePoliticsEpistemologyLinguistics

Abstract

fetched live from OpenAlex

Abstract This article analyzes the reconfiguration of state power into new immaterial forms such as virtual and biometric borders, and the impact of this reconfiguration in the cultural representation of migrant subjects and transborder communities. It attempts to respond to, and to elucidate what happens when security mutates from an abstract notion to a series of practices that become part of the nationstate's dominant discourse. In the first section, it offers a panoramic vision of virtual borders and its explanatory mechanisms linked to security and biometrics. Drawing from what Muller (2008) calls the ‘dispositif of security,’ it then discusses some interconnections between the biometric state, the culture of securitization and the growing perception that borders are becoming quasi‐permanent states of exception. The third part establishes connecting lines between visual securitization images and other recent representations of the biometric border in popular film and narrative using a detailed discussion of the film Sleep Dealer (2008) as a primary example of these interconnections.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.593
Threshold uncertainty score0.824

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.032
GPT teacher head0.364
Teacher spread0.332 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations16
Published2010
Admission routes1
Has abstractyes

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