L'impact de la commercialisation et de la privatisation sur l'efficacitée technique des sociéetées d‘ÉEtat au Canada
Bibliographic record
Abstract
Résumé L'objectif de cette éetude est d'analyser I'impact de la privatisation sur I'efficacite technique d'un groupe de societes d'Etat au Canada. L'attention est toutefois portee sur les changements qui auront precede le transfen de propriete et qui visent a commercialiser les entre‐prises. Au Canada, la commercialisation des entreprises du secteur public fut initiee vers le milieu des annees 80. Ces reformes se sont poursuivies par la privatisation de certaines societes d'Etat. Ce contexte particulier permet donc d'evaluer dans quelle mesure la commercialisation affecte la performance post‐privatisation. Les resultats obtenus suite aux analyses multivariees suggerent que la commercialisation et la privatisation ont un impact positif et significatif sur l'efficacite technique des societes d'Etat. Les resultats revelent aussi qu'une fois les entreprises commercialisees, l'impact de la privatisation sur l'efficacite des entreprises devient non significatif. Abstract This study sets out to analyze the impact of privatization on the technical efficiency of some state‐owned enterprises (SOEs) in Canada. It also focuses on the changes that are undertaken, prior to the transfer of property, in a bid to commercialize the corporations. In Canada, the commercialization of public sector enterprises started in the mid‐1980s and the reforms were pursued with the privatization of SOEs. This specific context can be used to assess the impact of commercialization on the performance of public corporations in the post‐privatization era. The results obtained following the multivariate analysis show that commercialization and privatization have a positive and significant impact on the technical efficiency of SOEs. They also show that once the corporations are commercialized, the impact of privatization on their efficiency becomes insignificant.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".