Concentration des droits de propriété, séparation entre participation au capital et contrôle des votes et performance opérationnelle des sociétés : une étude canadienne *
Bibliographic record
Abstract
(VF)La relation qui existe entre la concentration des droits de vote et la performance des sociétés canadiennes est non monotone, reflétant à la fois les avantages et les inconvénients de la concentration des droits de propriété. Dans certaines circonstances, la séparation des droits de vote de la participation au capital semble nuire à la performance des sociétés canadiennes. (VA) Tests on whether ownership concentration has an impact on the performance of Canadian firms reveal that the relationship between concentration and performance is not monotonous, thereby reflecting the pros and cons of concentrated ownership. Moreover, a significantly large separation of cash-flow rights and control rights is likely to negatively affect firm performance in Canada.
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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 | 0.007 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.014 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".