Informations environnementales publiées dans le document de référence : quel impact sur les cours boursiers ? Une étude longitudinale sur le CAC 40 (2008-2013)
Bibliographic record
Abstract
Les informations délivrées par l’entreprise sur les aspects environnementaux de son activité sont-elles prises en compte par les investisseurs ? Cet article vise à montrer que la communication d’informations environnementales provoque une réaction boursière. L’étude porte sur les groupes faisant ou ayant fait partie du CAC 40 de 2008 à 2013. Son originalité est de tester le pouvoir informationnel de la communication environnementale sur la base des 30 items environnementaux du Global Reporting Initiative (GRI), sur une longue période et pour les mêmes entreprises. Les résultats confirment que le contenu environnemental des informations communiquées par l’entreprise est tout aussi valorisé par les investisseurs que les informations financières.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.006 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".