Bibliographic record
Abstract
L’objectif de cette étude est de vérifier la relation entre les structures de propriété des sociétés canadiennes et leurs activités d’innovation. Nous prévoyons qu’une forte concentration de contrôle ainsi que la présence de structures à contrôle minoritaire (CMS) aient un impact négatif sur les activités de R&D des sociétés manufacturières canadiennes. Nos résultats indiquent que la concentration de contrôle dans les mains d’actionnaires dominants de sociétés CMS affecte négativement les résultats des investissements en R&D. Plus spécifiquement, nous constatons que l’écart entre les droits de contrôle et les droits de propriété des actionnaires dominants est positivement associé à l’intensité des investissements en R&D mais négativement associé aux résultats de ces activités. Ces résultats peuvent suggérer que les actionnaires dominants des sociétés CMS investissent en R&D pour réaliser des gains privés plutôt que d’être performants en matière d’innovation. Mots clés: Structures de propriété, structures à contrôle minoritaire (CMS), enracinement, activités de R&D, innovation. This study examines the link between ownership structures and R&D activities in Canada. Our main
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.002 |
| Insufficient payload (model declined to judge) | 0.915 | 0.796 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".