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Record W4220891145 · doi:10.1177/13624806221076422

Violence and bordering on the margins of the State: A view from South Africa and the southern border of Spain

2022· article· en· W4220891145 on OpenAlexaff
Gail Super, Ana Ballesteros Peña

Bibliographic record

VenueTheoretical Criminology · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCrime, Illicit Activities, and Governance
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSovereigntyJurisdictionState (computer science)LawMonopolyAbdicationState of exceptionDomestic violenceSettlement (finance)SociologyPolitical scienceCriminologyBoundary (topology)Poison controlSuicide preventionPolitics

Abstract

fetched live from OpenAlex

This article examines expulsions in and around the Spanish enclaves of Ceuta and Melilla and in informal settlements in former black townships in South Africa. These violent bordering processes expose the violent injustices that constitute the boundaries of lawful (liberal) law, and the violence that sovereigns use to secure territories. Drawing on Walter Benjamin we make three main theoretical arguments. First, that the bordering processes in our case studies are instances of law (and State) preserving violence. Second, that absence and responsibilization are central techniques for invisibilizing the role of violence in preserving law, and that abdication of jurisdiction is key to the exercise of state sovereignty. Third, that when the State preserves itself through sharing its monopoly over violence the fictitious distinction between law and violence collapses. We use the term ‘borderline lawful violence’ to highlight the precarious nature of the boundary between lawful and unlawful violence.

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)0.001
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score0.127

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.012
Scholarly communication0.0050.003
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.028
GPT teacher head0.263
Teacher spread0.235 · 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

Citations13
Published2022
Admission routes1
Has abstractyes

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