POLICY ADRIFT: CANADIAN CROWN CORPORATIONS IN THE 21ST CENTURY
Bibliographic record
Abstract
ABSTRACT Canada has had a strong tradition of using state‐owned enterprises for economic development. ‘Crown corporations’, as State‐owned enterprises are known in Canada, were created with a built‐in autonomy for their commercial activities on the condition that they also fulfil policy objectives. Of late, however, policy objectives have been articulated more through regulations and governance models and are issued far more from central agencies such as the Treasury Board Secretariat than from the ‘home department’ of the agency. This article explores the evolution of the use of Crowns from the glory days of their formation to the privatization era of the 1980s and 1990s to the modern day. It examines how governance and control mechanisms have replaced policy directives. The picture given of the Canadian experience could be relevant for the coming years when these enterprises become more international and thus challenge the present arrangement.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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".