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Record W2852594703 · doi:10.1680/jinam.17.00039

Engineering innovations in Canada’s public–private partnerships

2018· article· en· W2852594703 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 · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicPublic-Private Partnership Projects
Canadian institutionsToronto Metropolitan University
FundersConstruction Industry Council
KeywordsScope (computer science)BusinessIntegrated project deliveryEmpirical evidenceKnowledge managementProcess managementEngineering managementMarketingEngineeringProject managementComputer scienceSystems engineering

Abstract

fetched live from OpenAlex

Public–private partnerships (PPPs) have long been touted as an innovative project delivery method that encourages technological innovation and chases delivery efficiency. However, literature based on European PPP practices seems to provide conflicting evidence. To help better understand and further improve this prevailing delivery method, this study collected and analysed empirical evidence of engineering innovations that have been successfully used in existing PPP projects in Canada. Drawing on literature review and an intensive interview programme involving 19 interviewees from 15 successful PPP projects, the study answered the what, who, when, why and how questions about innovation in PPPs. The study concluded that the PPP delivery system does provide unique innovation opportunities and scope that traditional delivery models cannot support. Performance-based output specifications, vertical integration and communication are the three key areas for improvements to enhance innovation in PPPs further.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.689
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
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.027
GPT teacher head0.222
Teacher spread0.195 · 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