First minister choices regarding cabinet committees: the Manitoba experience 1958-2021
Bibliographic record
Abstract
This thesis looks at the use of cabinet committees in Manitoba as part of the cabinet decision-making process. Very little work has been done on this important facet of cabinet government in Canada. I address three research questions related to the use of cabinet committees under each of the premiers from 1958 to 2021. First, what was the structure of cabinet committees each premier employed? Second, what was the impact of these different structures on governance? Finally, how and why did the cabinet committee system change under each premier? By answering these questions, I argue that the Manitoba experience with cabinet committees reveals that the essential approach to governance taken by each first minister can be derived from their choices concerning cabinet committees. The research reveals that premiers in Manitoba rely on two committees as the pillars of their cabinet committee structure. The first committee is Treasury Board, which is a constant within the cabinet committee system. The second committee is either a coordinating committee or an economic development committee. Both committees are chaired by the premier. The thesis also looks at the use of government MLAs as part of cabinet committees.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.036 | 0.008 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".