Capacity, voice and opportunity: advancing municipal engagement in Canadian federal relations
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In Canada, municipalities are involved in an increasing number of policy areas, but they remain largely absent from the nation’s system of intergovernmental relations. Municipal representatives do not attend First Ministers’ meetings that gather the Prime Minister and heads of each province and territory. They are also largely excluded from intergovernmental councils or committees focused on specific policy areas. Nor do they participate in the negotiation of most intergovernmental agreements. This paper explores how Canada’s intergovernmental infrastructure could be reformed to include municipalities. It does so through an analysis of how other countries have made space for municipalities in their intergovernmental processes. After drawing five lessons from international experience, the paper concludes with four approaches to reforming intergovernmental relations in Canada: (1) ensure municipalities have the capacity, voice and structures to participate effectively in intergovernmental relations; (2) increase municipal involvement in provincial policy-making, including potentially through co-governed intergovernmental councils; (3) as far as possible, eliminate unfunded mandates(ie responsibilities devolved without adequate funding to discharge them) through, for example, provincial legislation or provincial–municipal intergovernmental agreements that require consultation on the fiscal impacts of draft legislation or regulation on municipalities; (4) strengthen trilateral (national/provincial/municipal) relations, including through location-specific or policy-specific agreements, and trilateral intergovernmental councils.
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.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it