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Record W2058648079 · doi:10.1080/01436590802622631

Securing the State and Developing Social Insecurities: the securitisation of citizenship in contemporary Colombia

2009· article· en· W2058648079 on OpenAlexaff
Cristina Rojas

Bibliographic record

VenueThird World Quarterly · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Security and Public Health
Canadian institutionsCarleton University
Fundersnot available
KeywordsCitizenshipDemocracyObedienceSociologyState (computer science)Political scienceIndigenousLawPoliticsPolitical economy

Abstract

fetched live from OpenAlex

Citizenship is the cornerstone of Colombian President Alvaro Uribe's democratic security policy. In this paper I ask what kind of citizen is formed under this policy. I examine the premises of citizenship when implemented under the double logic of democracy and security, drawing upon the thoughts of Hannah Arendt and Michel Foucault. My conclusion is that in Colombia the tensions between security and democracy are resolved with a bias towards the security rather than the democracy side of the equation. The consequence is the formation of a citizen less inclined to claim his or her rights politically and more prone to ‘voluntary obedience’ in return for protection; rather than a lasting peace this engenders a continuation of the barbarisms, this time in the name of securing citizens. I point out that the answers to these contradictions are found in the resistance movements of indigenous and Afro-Colombian communities, peasants, peace communities and the movement of victims of all armed actors. I suggest a framework for analysis inspired by decolonial thinkers.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.090
Threshold uncertainty score0.178

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.011
Scholarly communication0.0050.002
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.044
GPT teacher head0.314
Teacher spread0.270 · 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

Citations44
Published2009
Admission routes1
Has abstractyes

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