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Record W2130174401 · doi:10.1680/iasma.14.00044

Asset system of systems resilience planning: the Toronto case

2015· article· en· W2130174401 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInfrastructure Asset Management · 2015
Typearticle
Languageen
FieldEngineering
TopicInfrastructure Resilience and Vulnerability Analysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsInterdependenceVitalityAsset managementUrban resilienceResilience (materials science)Environmental planningUrban planningEnvironmental resource managementAsset (computer security)BusinessStakeholderProcess managementRisk analysis (engineering)Computer scienceEngineeringGeographySociologyPolitical scienceCivil engineeringPublic relationsComputer securityEconomicsFinance

Abstract

fetched live from OpenAlex

In 2012, the City of Toronto Environment Office undertook a resilience assessment project with the objective of understanding critical infrastructure interdependencies, to create a platform for stakeholder collaboration on issues related to extreme events, and to improve the city’s ability to survive and recover from extreme events efficiently. Herein this project is reviewed for its large contribution to the planning of urban resilience through the construction and analysis of dependencies of core city functions. This structure is generalised and formalised into a repeatable methodological form invoking the unique attributes of the vitae (of life) system of systems formalism to link urban resilience planning to the fundamentals of survival, vitality and conviviality as desirable outputs of integrated disaster management and of urban planning and asset management for sustainable urban communities.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.380
Threshold uncertainty score0.918

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 communication0.0000.000
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 head0.010
GPT teacher head0.243
Teacher spread0.233 · 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