Schémas origine-destination des activités de fusion et d’acquisition (F&A) au Canada : une analyse sectorielle des réseaux, 1994-2016
Bibliographic record
Abstract
L’article propose d’étudier les schémas spatiaux sectoriels de relocalisation des centres de décisions à partir d’une base de données renfermant l’ensemble des fusions et acquisitions (F&A) d’entreprises effectuées au Canada par des entreprises canadiennes entre 1994 et 2016. Les schémas spatiaux issus des liens entrants et sortants sont étudiés à partir d’une analyse de réseaux prenant appui sur une catégorisation des grands secteurs économiques en cinq regroupements (primaire, secondaire, commercial, services locaux et quaternaire). L’article compare les schémas de relocalisation des activités économiques entre secteurs, mais également pour trois périodes temporelles. Les analyses statistiques descriptives permettent d’identifier les principales tendances dans la relocalisation des centres décisionnels au Canada.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".