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Record W2982697584 · doi:10.1080/23789689.2019.1681822

Toward adaptive infrastructure: the role of existing infrastructure systems

2019· article· en· W2982697584 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

VenueSustainable and Resilient Infrastructure · 2019
Typearticle
Languageen
FieldEngineering
TopicSmart Cities and Technologies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCritical infrastructureInfrastructure planningAdaptabilityRisk analysis (engineering)Optimism biasBusinessTransport infrastructureGreen infrastructureOptimismComputer scienceProcess managementEngineeringComputer securityEnvironmental resource managementEconomicsConstruction engineeringTransport engineering

Abstract

fetched live from OpenAlex

Two recent review papers in Sustainable and Resilient Infrastructure have made the case for a step change in the way infrastructure is conceived and delivered. The papers define the term ‘flexible infrastructure’ and provide examples to support a case for transition. The papers present compelling alternative ideas to the current predominant mode of infrastructure development. However, they undervalue many of the advantages of centralized infrastructure systems that underpin city and national infrastructure networks. We provide some examples of the strengths of what might be deemed ‘rigid’ infrastructure and that the concepts of adaptability can directly apply to upgrading these existing centralized, networked systems. In doing so, we contribute to the debate about appropriate advances forward, highlighting the risks of technological optimism and emphasizing the importance of long-term planning and investment.

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: Empirical
Teacher disagreement score0.537
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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.193
Teacher spread0.187 · 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