Federalism and the institutional dynamics of intergovernmental spatial policy coordination in Canada
Bibliographic record
Abstract
This thesis discusses the governmental institutional dynamics that structure the formulation and coordination of spatial policy within the federal Canadian intergovernmental system and presents methods to improve it. The research utilises the three traditions of new institutionalism - historical, rational choice and sociological - to develop a crosscutting assessment of intergovernmental spatial policy coordination. An embedded case study approach is then used to discuss intergovernmental spatial policy coordination between the governments of Canada, British Columbia, Alberta and Saskatchewan.Research findings highlight the uniqueness of the institutional environments that exist within each government, and to a lesser extent each department, which structure policymakers’ understandings of intergovernmental spatial policy coordination. Policymakers demonstrate a distinct awareness of spatial issues, but they are often constrained in their ability formally to articulate this in the development of public policy, particularly in relation to intergovernmental interactions. The decentralised federal nature of Canada is shown to be a highly influential reason for this, with issues of history, equity, politics and strong regional government cultures playing important roles in impeding intergovernmental spatial policy coordination.The thesis explores these constraints, discussing how both formal and informal institutional structures interact to discourage the use of spatial policy, and discusses the ways in which intergovernmental spatial policy coordination could be enhanced in the specific context of Canada. The institutional framework developed in this research is shown to be a useful method for conceptualising the competing federal principles of unity and diversity in the study of intergovernmental spatial policy coordination. Ultimately this thesis argues that while intergovernmental spatial policy coordination is poorly developed in Canada, policymaker awareness of spatial issues influences the decision-making processes employed to develop and coordinate public policy.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".