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Record W1906115513 · doi:10.5130/cjlg.v0i0.4484

Governance lessons from public-private partnerships: examining two cases in the Greater Ottawa Region

2015· article· en· W1906115513 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

VenueCommonwealth Journal of Local Governance · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicPublic-Private Partnership Projects
Canadian institutionsÉcole Nationale d'Administration PubliqueUniversity of Ottawa
Fundersnot available
KeywordsProcurementCorporate governanceNormativeDemocracyPublic administrationRealisationOrder (exchange)BusinessPolitical scienceGood governanceFinanceMarketingPolitics

Abstract

fetched live from OpenAlex

This paper is concerned with studying the administrative and democratic effects of PPP procurement involved in the realisation of two PPP projects in the Greater Ottawa region: Gatineau’s Robert-Guertin Arena and Ottawa’s Lansdowne Park. First, we review the theory regarding PPPs and democratic municipal governance. Second, we propose a normative framework of good governance in the municipal sector, tailor-made to infrastructure matters. Third, we critically analyze the decision-making process and contractual agreements of both projects in order to identify key issues regarding infrastructure PPPs in municipalities. We conclude by drawing lessons from the analysis of the two projects and discussing the potential implications of our findings.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.495
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.005
Open science0.0020.000
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 head0.259
GPT teacher head0.332
Teacher spread0.073 · 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