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Record W1487914327 · doi:10.3917/sestr.018.0005

Continuité, anticipation et résilience

2015· article· fr· W1487914327 on OpenAlex
Christophe Roux‐Dufort

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSécurité et stratégie · 2015
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicSupply Chain Resilience and Risk Management
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesAnticipation (artificial intelligence)PhilosophyPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Tout est devenu « crise » à en croire les médias, et pourtant certaines enquêtes montrent que le nombre de crises tend à se stabiliser. Christophe Roux-Dufort, professeur de management stratégique à l’Université Laval (Canada), avance l’hypothèse que les crises ont changé de forme, sont devenues plus fortes en intensité et de moins en moins prévisibles. Cela tend à modifier la conception que les entreprises se font de la crise, désormais non plus seulement pensée comme un événement survenant ex nihilo , mais comme un processus. L’entreprise entend désormais gérer la crise en amont à travers un effort consenti en matière de prévention et d’anticipation, mais aussi en aval en renforçant sa résilience. L’auteur en conclue que continuité, anticipation et résilience constituent le « trio de la gestion 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.

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), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.758
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
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.004
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.048
GPT teacher head0.308
Teacher spread0.260 · 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