Neither public nor private: The efficacy of mixed model public service delivery in two <scp>C</scp>anadian municipalities
Bibliographic record
Abstract
Abstract The New Public Management emerged in the 1980s, and with it, alternative service delivery ( ASD ) mechanisms, which removed service delivery from the public bureaucracy and separated policy making from policy implementation. Most western governments implemented measures including privatization or contracting out of service delivery to the private sector. By the mid‐1990s, many governments started reversing ASD policies and sought new ways to deliver services, leading to a mixed model approach to service delivery, which combines the benefits of the public and private sectors. We examine the adoption of the model in the C anadian municipalities of Hamilton and Ottawa to determine if and how it enhances competition, cost‐savings, efficiency, effectiveness, and good governance in the delivery of public services, during an era of fiscal constraint. Our findings indicate the model is better in enhancing the five variables when compared to solely public or private services delivery.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".