Looking at Regional Governance Institutions in Other Countries as a Possible Model for U.S. Metropolitan Areas: An Examination of Multipurpose Regional Service Delivery Districts in British Columbia
Bibliographic record
Abstract
General purpose or multipurpose governments at the metropolitan level have proven extremely difficult to create and sustain in the United States. In their absence, a range of institutions have evolved to address problems of regional fragmentation and to promote interlocal cooperation and collaboration. These include single-purpose regional special districts, interlocal contracts and agreements, and voluntary regional organizations of local governments such as councils of government. However, several countries make use of another institutional form, multipurpose special districts, rather than or in addition to single-purpose special districts, as a mechanism for facilitating regional governance and intermunicipal collaboration. This essay examines one example of such an institution: regional districts in British Columbia. It analyzes what accounts for their successful creation and institutionalization and considers whether such an institutional model is potentially adoptable in the United States. It focuses particularly on the perceived reduction in transaction cost for achieving intermunicipal agreements.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.009 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".