The Role of Crown Corporations in the Canadian Economy: An Analytical Framework
Bibliographic record
Abstract
Government interference in markets arouses heated emotions on both sides of the political spectrum. But the fact remains that governments of all stripes routinely play a direct role in the economy. Motivations run the gamut from the economic (correcting perceived market failures) to the ethical (addressing social injustice) to the nakedly political (ideology or the status quo demands it). This paper offers a highly readable theoretical and practical framework for understanding federal and provincial governments’ market interventions in sectors including power generation, alcohol and mail delivery. Public ownership can advance a range of normative objectives, so the choices, reasons and outcomes for the government, the Canadian economy, Crown corporation employees and the general public can vary as widely as the enterprises involved. But in asking why and how and assessing ways and means, the authors bring together a substantial body of knowledge and expertise, providing an essential guide to a phenomenon that, like it or not, will remain a major part of Canada’s economic landscape for a long time to come.
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 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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.025 | 0.022 |
| Scholarly communication | 0.016 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".