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Record W2612509732

Les plans de gestion de crises dans les pays francophones

2016· preprint· fr· W2612509732 on OpenAlexaboutno aff
Houssem Barkaoui, Alain Guinet, Wang Tao, Nadine Meskens

Bibliographic record

VenueRePEc: Research Papers in Economics · 2016
Typepreprint
Languagefr
FieldSocial Sciences
TopicDisaster Management and Resilience
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesCrisis managementWelfare economicsBusinessEconomics
DOInot available

Abstract

fetched live from OpenAlex

La gestion des catastrophes, appelée plus communément gestion des situations d’urgences ou encore gestion de crises, est la discipline qui s’intéresse à l’évaluation des menaces et de leurs risques relatifs ainsi qu’aux stratégies mises en œuvre afin d’en limiter l’occurrence ou les conséquences en cas de survenue. Dans ce papier, nous allons étudier le cadre réglementaire et les mesures prises par les gouvernements pour gérer des situations exceptionnelles de crises dans quatre pays et une province canadienne (France, Belgique, Luxembourg, Maroc et Québec). Une étude comparative sur les structures des plans de gestion d’urgences dans ces pays/province a été menée, et nous a permis de mettre en exergue le rôle de la coordination entre les différentes parties prenantes afin de bien gérer la situation de crise.

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)0.004
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.728
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
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 science0.0010.001
Research integrity0.0010.001
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 head0.056
GPT teacher head0.340
Teacher spread0.284 · 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 designOther design
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

Citations1
Published2016
Admission routes1
Has abstractyes

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