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Record W7132961006

Public-private partnerships and municipal water sector reform in Ontario

2004· dissertation· W7132961006 on OpenAlexaboutno aff
Kevin F Fritz

Bibliographic record

VenueTSpace · 2004
Typedissertation
Language
FieldBusiness, Management and Accounting
TopicPublic-Private Partnership Projects
Canadian institutionsnot available
Fundersnot available
KeywordsWater sectorWater industryAccountabilityPublic sectorPrivate sectorWater supplySewerageWater infrastructure
DOInot available

Abstract

fetched live from OpenAlex

The use of public-private partnerships to deliver municipal water services is controversial due to the special importance of water to public health and the environment. In Ontario, the establishment of public-private partnerships in this sector has been slowed by the Walkerton tragedy, the public inquiry into its causes, and the subsequent enactment of the Safe Drinking Water Act, 2002 and the Sustainable Water and Sewage Systems Act, 2002. Critics have suggested that these statutes will force many municipalities to privatize their water infrastructure. This thesis argues that the prospects for public-private partnerships in the Ontario water sector are modest due to the unique characteristics of the municipal water infrastructure, concerns over opportunistic behaviour in this politically sensitive sector, the emphasis on public accountability in the new legislation, and the broad powers given to the province to both interfere with water pricing and to alter contracts between municipalities and private firms.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.167
Threshold uncertainty score0.966

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0140.006
Scholarly communication0.0060.002
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.125
GPT teacher head0.302
Teacher spread0.177 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2004
Admission routes1
Has abstractyes

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