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Record W2040064889 · doi:10.3917/ds.363.0325

La marchandisation de la sécurité : facteur de responsabilisation des individus ou des entreprises ?

2012· article· fr· W2040064889 on OpenAlexaff
Massimiliano Mulone

Bibliographic record

VenueDéviance et Société · 2012
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicRegulation and Compliance Studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Cet article propose d’explorer la question de la responsabilisation des citoyens relativement à la marchandisation de la sécurité. Alors que l’accès facilité à une multitude de produits et services par l’entremise d’un marché de la protection de plus en plus important semble plaider, à première vue, pour une augmentation de la responsabilité des individus relativement à leur sécurité, une lecture plus attentive nous montre une réalité plus complexe. En effet, en prenant appui sur la fragmentation de l’espace urbain et la multiplication des donneurs d’ordre qui en découle, il nous faut conclure que la partielle déresponsabilisation de l’État vis-à-vis d’une certaine question de sécurité s’est faite à charge (ou à faveur) des entreprises et non des individus. Ce qui s’explique par le fait que ces derniers ne jouent qu’un rôle limité dans un marché devenu une importante source de régulation de la sécurité. Un marché qui, par ailleurs, n’est pas exempt de volontés normatives.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.213
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
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 head0.053
GPT teacher head0.335
Teacher spread0.282 · 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 designObservational
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

Citations0
Published2012
Admission routes1
Has abstractyes

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