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Record W2759538499 · doi:10.1080/23789689.2017.1345256

Resilience-based design of urban centres: application to blast risk assessment

2017· article· en· W2759538499 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueSustainable and Resilient Infrastructure · 2017
Typearticle
Languageen
FieldEngineering
TopicInfrastructure Resilience and Vulnerability Analysis
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsResilience (materials science)Risk analysis (engineering)Probabilistic logicRisk assessmentProcess (computing)Computer scienceRisk managementProbabilistic risk assessmentOrder (exchange)EngineeringComputer securityBusiness

Abstract

fetched live from OpenAlex

Current standards for the blast protection of buildings are primarily focused on the response of single components and do not provide adequate tools to quantify the overall performance of complex structural systems. Methodologies that can translate structural damage into information actionable by policy-makers are greatly needed to support the risk management process. The best efforts produced to date towards a comprehensive analysis of the built environment under blast threats can be classified under the umbrella of probabilistic risk assessment, which can provide the public with projections of casualties and economic loss. However, additional metrics are needed in order to capture the post-blast resilience of target facilities. The current study addresses the need of a unified risk and resilience framework, wherein new design criteria – the functionality loss index and the resilience indicator – are proposed as instrumental to the assessment of a building’s post-blast functionality and resilience in an integrated fashion.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.604
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.003
GPT teacher head0.231
Teacher spread0.228 · 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