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Record W2137016586 · doi:10.7202/1008375ar

De la sécurité privée à l’armée de destruction massive. La « bande armée » et la criminalité de masse

2012· article· fr· W2137016586 on OpenAlexaffvenue
Samuel Tanner

Bibliographic record

VenueCriminologie · 2012
Typearticle
Languagefr
FieldSocial Sciences
TopicCrime, Illicit Activities, and Governance
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPhilosophyPolitical science

Abstract

fetched live from OpenAlex

Dans cet article, nous nous intéressons à la mobilisation et la participation d’une bande armée – les Scorpions – dans les événements qui se sont produits en ex-Yougoslavie, durant les années 1990. Si l’étude de cette figure centrale des crimes de masse est nécessaire à la compréhension de ce phénomène et, ultimement, à sa prévention, elle se justifie aussi d’un point de vue épistémologique : plutôt que d’ancrer une réflexion sur l’individu et ses motivations, démarche courante pour une criminologie dominante centrée sur les préoccupations sécuritaires des sociétés occidentales, nous postulons que c’est à partir du groupe et de la nature éminemment collective et politique de cette forme de criminalité extrême que la réflexion sur les dynamiques d’élimination de populations entières doit s’amorcer. Cette démarche permet la genèse de connaissances plus spécifiques et un regard nouveau sur la criminalité de masse.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.686
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.172
GPT teacher head0.396
Teacher spread0.224 · 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.

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

Citations6
Published2012
Admission routes2
Has abstractyes

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