La reaction du marche boursier Canadien suite a la declaration des transactions d'actions des inities dans le SEDI
Bibliographic record
Abstract
Le but de cette recherche est d’étudier la réaction du marché boursier canadien lorsque les opérations d’achat et de vente effectuées par les différents initiés sont déclarées dans le SEDI. Les résultats montrent que seules les ventes de certaines catégories d’initiés signalent de l’information négative au marché pendant la période 2006-2008. Ils nous permettent aussi d’affirmer que les transactions boursières des dirigeants-administrateurs de l’émetteur influencent plus le marché que celles des dirigeants- administrateurs d’une filiale de l’émetteur. Enfin, d’après nos résultats, il semble que la réaction du marché suite aux opérations boursières d’initiés peut être influencée par la tendance du marché boursier (haussier ou baissier) qui prévaut pendant la période de l’étude.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 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".