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Record W2141402912 · doi:10.1109/hicss.2005.477

Organizational Culture and the Performance of Critical Infrastructure: Modeling and Simulation in Socio-Technological Systems

2005· article· en· W2141402912 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicInfrastructure Resilience and Vulnerability Analysis
Canadian institutionsNational Research Council Canada
FundersNatural Environment Research Council
KeywordsPerspective (graphical)Quality (philosophy)Knowledge managementLinkage (software)Complex systemComputer scienceBusinessCyber-physical systemInformation systemRisk analysis (engineering)Engineering

Abstract

fetched live from OpenAlex

Civil infrastructures are vital elements of a nation's physical well-being and quality of life because modern economies rely on the services these systems provide to move goods, people, and information safely and reliably. The linkage between systems and services is critical because the institutions and people that manage, operate, and maintain them are as important as the physical assets. This paper will examine several catastrophic system failures of the past twenty years from the perspective of the role played by the organization itself in facilitating disaster. It will seek to demonstrate that organizational culture and values, and their effect on individual members of the organization, are critical to safe and reliable systems. It will also suggest that simulations, employing agent-based models and other tools from the social sciences, would be useful in enhancing our understanding of the complex interactions that occur in these socio-technological systems.

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)0.000
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.168

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.005
GPT teacher head0.221
Teacher spread0.216 · 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