Canadian governance in transition: Multilevel governance in the digital era
Bibliographic record
Abstract
Abstract While the digital revolution has created new pressures and tensions for governing institutions in Canada, a broad discussion of the evolution of the Canadian Westminster governance ecosystem has yet to occur in earnest. The article seeks to contribute to such a discussion. We identify three related trends shaping the Canadian governance context: the rise of digital culture, the disintermediation of traditional authorities, and the increasingly distributed nature of governance. We then draw on scholarly literature surrounding “multilevel governance” to help contextualize these trends, and identify key tensions and needs related to the increasingly pressing imperative to develop a “made‐in‐Canada” governance approach that is well attuned to the needs of the digital era. We conclude by suggesting that such an approach will require a new style of leadership, one that privileges agility and resilience and that is issue‐based and outcome‐focused, rather than constrained by jurisdictional silos or narrowly conceived institutional mandates.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| Open science | 0.001 | 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".