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Record W2054125671 · doi:10.1108/09653561211256125

Preparedness: the state of the art and future prospects

2012· article· en· W2054125671 on OpenAlex

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

VenueDisaster Prevention and Management An International Journal · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicDisaster Management and Resilience
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsPreparednessResilience (materials science)Context (archaeology)OriginalityState (computer science)Emergency managementRisk analysis (engineering)Process managementEngineering ethicsPolitical scienceEngineeringManagement scienceKnowledge managementComputer scienceBusinessSociologyQualitative researchSocial scienceGeography

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to show the evolution of the concept “state of preparedness” into “state of resilience” in the context of emergency management, and the implications raised by this new concept. Design/methodology/approach This paper is a literature review (scientific and governmental) of the most important articles in the field of state of preparedness evaluation. Findings This article presents two trends in the state of preparedness evaluation: response capability and preparation management. These two trends contribute to the evolution of the concept “state of preparedness” into “state of resilience”, a state that is defined as the ability of a system to maintain or restore an acceptable level of functioning despite disruptions and failures. Originality/value This literature review helps define the concept of “state of preparedness” (in terms of both management and response capability) as the new trend of resilience.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.646
Threshold uncertainty score0.238

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.012
GPT teacher head0.307
Teacher spread0.295 · 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