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Record W1517855864 · doi:10.4000/champpenal.620

La gouvernance de la sécurité dans les États faibles et défaillants

2007· article· fr· W1517855864 on OpenAlex
Benoît Dupont, Peter Grabosky, Clifford Shearing, Samuel Tanner

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueChamp pénal · 2007
Typearticle
Languagefr
FieldSocial Sciences
TopicCrime, Illicit Activities, and Governance
Canadian institutionsInternational Centre for Comparative Criminology
Fundersnot available
KeywordsCorporate governanceState (computer science)State securityBusinessComputer securityPolitical scienceComputer scienceFinanceLawProgramming languagePolitics

Abstract

fetched live from OpenAlex

Cet article vise à identifier des moyens permettant le renforcement des mécanismes de contrôle social et de résolution des conflits dans les États faibles et défaillants. Après avoir examiné la gouvernance de la sécurité telle qu’elle se développe dans les États forts, nous montrons que certaines configurations institutionnelles peuvent être transposées dans un contexte d’État faible, où les institutions étatiques en charge de la sécurité sont défaillantes ou inexistantes. Nous identifions de nouveaux mécanismes de gouvernance de la sécurité qui rendent envisageable un minimum de sécurité humaine dans les États les plus affaiblis.

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.

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)0.002
metaresearch head score (Gemma)0.000
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 score0.811
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.025
GPT teacher head0.324
Teacher spread0.299 · 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