When markets fail to deliver: An examination of the privatization and de‐privatization of water and wastewater services delivery in Hamilton, Canada
Bibliographic record
Abstract
Abstract:The emergence of the “New Public Management” (NPM) and its faith in markets led governments to search for alternative methods in the delivery of public services. One of the most popular methods was privatization. The rationale behind the choice of privatization is based on what Charles Wolf describes as “non‐market failure.” This article argues that the market may not be as efficient as its proponents have asserted, especially when there is a monopoly over service delivery. This has been the case in many municipalities, in some developed countries, where privatization of water service delivery has reverted to public delivery. Using the City of Hamilton's experience with its water and wastewater services as an example, the authors' finding is that the nature of the good to be delivered is essential in determining whether the “market” or the “public” provides the best method of service delivery. Sommaire :L'émergence de la Nouvelle gestion publique (NGP) et sa foi dans les marchés ont conduit les gouvernements à rechercher des méthodes de rechange pour la prestation des services publics. L'une des méthodes les plus populaires est la privatisation. La justification du choix de la privatisation est fondée sur ce que Charles Wolf décrit comme un ≪“échec du non marché”≫. L'article fait valoir que le marché pourrait ne pas être aussi efficace que ses adeptes l'ont prétendu, en particulier lorsqu'il existe un monopole dans la prestation des services. Cela fut le cas dans de nombreuses municipalités de certains pays développés, où la privatisation de la prestation de leurs services en eau est repassée à la prestation publique. En prenant comme exemple l'expérience de la ville d'Hamilton concernant ses services d'approvisionnement en eau et d'évacuation des eaux usées, l'article conclut que la nature du produit à livrer est déterminante pour savoir si c'est le “marché” ou le “public” qui fournit la meilleure méthode de prestation de services.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.014 | 0.006 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".