Les facteurs de changement des dirigeants:une étude empirique sur le NASDAQ
Bibliographic record
Abstract
(VF)Résumé : Cette étude analyse la relation présumée entre certaines caractéristiques d’entreprises de la nouvelle économie et de leur PDG et la proba-bilité de leur remplacement lors d’une chute de performance. Sur un échantillon de 100 entreprises du NASDAQ ayant subi une chute boursière entre mars 2000 et janvier 2003, nous mettons en évidence 55 cas de changements de PDG. Ceux-ci sont associés à la durée des fonctions du PDG, la proportion d’investisseurs institutionnels, la taille et le cumul de fonctions. (VA) This study examines the hypothesized relationship between certain characteristics of new econ-omy firms and their CEO and the decision to replace the latter following a performance decline. A sample of one hundred companies listed on the NASDAQ and showing a decline in their stock price during the bear market period from March 2000 to January 2003 brings out 55 CEO changes. The replacement decision is associated with the time a position is held, the proportion of institutional investors, the size of the firm and the number of mandates.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".