The Contradictions in ‘Alternative’ Service Delivery: Governance, Business Models, and Sustainability in Municipal Water Supply
Bibliographic record
Abstract
Restructuring municipal water supply using ‘alternative service delivery’ models is a growing trend. The author examines potential contradictions between ‘alternative service delivery’ business models, on the one hand, and goals of good governance and sustainability on the other. A case study of water conservation and efficiency programs implemented by municipal water utilities in Canada is used to show that specific alternative service delivery (ASD) models which seek greater distance between management and government can create incentives which deter utilities from pursuing important social and environmental goals. The neoliberal governance reform that commonly accompanies and encourages ASD tends to exacerbate its deficiencies vis-à-vis conservation in the water sector. Still, the prevalent government-led service delivery model can impose trade-offs of its own. Strategic (rather than ideological) improvements in governance can enable municipalities to reap the benefits of a variety of business models (including ASD) without compromising sustainability objectives.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.004 | 0.021 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".