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Record W2063141534 · doi:10.7202/1020992ar

Gérer les risques dans l’entreprise vulnérable. Une comparaison franco-québécoise

2013· article· fr· W2063141534 on OpenAlexaffvenueabout
Frédéric Ocqueteau, Benoît Dupont

Bibliographic record

VenueCriminologie · 2013
Typearticle
Languagefr
FieldMedicine
TopicHistorical and Scientific Studies
Canadian institutionsUniversité de MontréalInternational Centre for Comparative Criminology
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Cet article est un essai de comparaison des résultats de deux enquêtes initialement conduites sans concertation à Paris et à Montréal sur un objet identique : la gestion de la sécurité-sûreté en entreprise à partir d’entretiens auprès de risk managers confrontés à des vulnérabilités, risques et menaces très diversifiés. L’approche française interroge plutôt compétences et rôles de ces agents d’encadrement à partir des cursus professionnels (privés, policiers, militaires) tandis que l’approche québécoise interroge plutôt la maîtrise et les effets de leurs réseaux relationnels. Le comparatif s’établit à partir des illustrations de deux régimes de sécurité : dans les structures hospitalières confrontées à des violences de plus en plus menaçantes et dans les aéroports vus comme des infrastructures critiques d’importance vitale. Une meilleure connaissance de l’identité de ces professionnels dédiés permet une approche plus juste de la pluralité des modalités du policing dans nos sociétés, une clé de lecture plus heureuse que celle du paradigme de la privatisation de la sécurité, dont la valeur heuristique est devenue moins crédible.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.362
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0060.017

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 head0.289
GPT teacher head0.339
Teacher spread0.050 · 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; both teacher heads agree on what is shown here.

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

Citations4
Published2013
Admission routes3
Has abstractyes

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