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Record W2937141166 · doi:10.1680/jinam.18.00039

A different kind of partnership: an infrastructure performance stock exchange

2019· article· en· W2937141166 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

VenueInfrastructure Asset Management · 2019
Typearticle
Languageen
FieldEngineering
TopicWater Systems and Optimization
Canadian institutionsRegional Municipality of WaterlooFleming CollegeUniversity of Waterloo
FundersSociety for Sedimentary Geology
KeywordsBusinessGeneral partnershipFinanceAsset managementOrder (exchange)Public–private partnershipStock exchangeAsset (computer security)Stock (firearms)Government (linguistics)Critical infrastructureIndustrial organizationComputer securityEngineeringComputer science

Abstract

fetched live from OpenAlex

Typically, public–private partnerships are constrained to be ‘mega’ construction projects and long-term arrangements. This paper introduces a practical mechanism for a novel public–private partnership modelled on the concepts of market trading (i.e. stock exchange). The ultimate mega project is the management of an entire infrastructure asset network by a government agency (federal, provincial, local, etc.). Hundreds of billions of dollars are spent each year in North America on the upkeep of public infrastructure (roads, underground, buildings, parks, etc.). Yet, according to current projections, this is still far short of the funding that is required to achieve acceptable levels of performance or service. A transparent, evidence-based and auditable process for deriving a universal infrastructure asset performance stock measure is introduced. Rather than being based on asset age, as the current ‘old infrastructure order’ is, the ‘new infrastructure order’ of asset management is based on the principles of reliability (risk) engineering as applied to corporate information.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.714
Threshold uncertainty score0.990

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 head0.195
Teacher spread0.189 · 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