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Record W3001140023 · doi:10.1177/1087724x19899406

Exploring the Success of Social Infrastructure Public Private Partnerships: The Complex Case of Bridgepoint Active Healthcare in Ontario, Canada

2020· article· en· W3001140023 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

VenuePublic Works Management & Policy · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicPublic-Private Partnership Projects
Canadian institutionsYork University
Fundersnot available
KeywordsSoftware deploymentPrivate finance initiativeContext (archaeology)BusinessHealth carePublic relationsPhase (matter)Personality psychologyPublic administrationPrivate sectorEngineeringPolitical scienceEconomic growthEconomicsPsychology

Abstract

fetched live from OpenAlex

Notwithstanding the deployment of tools to standardize delivery processes, public–private partnerships (PPPs) have encountered significantly different experiences across a broad spectrum of applications during their long-term contractual phase—including those in Ontario Canada, one of the world’s most active PPP markets. This article conducts an in-depth case study of the PPP for the new Bridgepoint Active Health care Hospital, an award-winning 464-bed hospital and administration facility delivered using a design–build–finance–maintenance PPP. This article reveals the role of personalities, relationships, and strong leadership in bringing a successful project to fruition in the face of complex, intersecting challenges. In this context, the PPP is only one variable in explaining the overall success of this complex and highly visible social infrastructure project.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.879
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.004
Science and technology studies0.0010.000
Scholarly communication0.0010.003
Open science0.0020.002
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 head0.176
GPT teacher head0.284
Teacher spread0.107 · 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