Le façonnement des élites économiques québécoises par la financiarisation des entreprises
Bibliographic record
Abstract
L’article décrit les caractéristiques structurantes du phénomène de la financiarisation des entreprises et cherche à montrer comment ce régime d’accumulation contribue à la transformation des élites économiques. La présente étude des réseaux sociaux d’entreprises et d’organisations québécoises a permis de comparer l’élite économique et l’élite financière, la première se rattachant au processus d’accumulation capitaliste en général et la seconde à la dynamique de financiarisation en particulier. Les résultats ont montré que l’élite financière, sur les plans du profil individuel et professionnel ainsi que du pouvoir qu’elle exerce, était mieux en mesure que l’élite économique de maximiser ses intérêts, de profiter de la crise financière de 2008 et de consolider ses liens dans le réseau.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".