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Record W2608289737 · doi:10.1139/cjce-2016-0468

Infrastructure crisis — a proposed national infrastructure policy for Canada

2017· article· en· W2608289737 on OpenAlexafffundvenueabout
Saeed Mirza, Muhammad Shafqat Ali

Bibliographic record

VenueCanadian Journal of Civil Engineering · 2017
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFiscal Policy and Economic Growth
Canadian institutionsMcGill University
FundersFederation of Canadian MunicipalitiesCentre International de Recherche sur le Cancer
KeywordsCritical infrastructureUpgradePoliticsBusinessFinanceUrban infrastructureState (computer science)Public infrastructureTransportation infrastructureWater infrastructureEngineeringTransport engineeringPolitical scienceComputer securityUrban planningCivil engineeringComputer science

Abstract

fetched live from OpenAlex

The paper proposes a national infrastructure policy (NIP) for Canada, including establishing a national infrastructure bank to overcome the current dire financial and other difficulties in renewal of Canada’s extensively deteriorated infrastructure, and for construction of new infrastructure to fulfill the society’s new needs. After examining the deteriorated state of infrastructure in Canada, the USA, and the world, the current infrastructure deficits and the consequences of inaction, along with the views of community and political leaders to establish infrastructure priorities and the needed actions, an NIP is proposed for consideration by all parties involved with infrastructure. The associated financial needs to upgrade the infrastructure to an acceptable level are reviewed, along with the consequences of any delay in the needed repairs and renewal.

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.

How this classification was reachedexpand

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.628
Threshold uncertainty score0.765

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.011
GPT teacher head0.193
Teacher spread0.182 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations19
Published2017
Admission routes4
Has abstractyes

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