Bibliographic record
Abstract
Socially responsible investment (SRI) in France is based on a “best in class” approach as opposed to the “exclusion” approaches used in other countries such as the United States or United Kingdom, where the rejection of sin stocks has been dominant historically. The objective of this research note is to examine whether the French SRI market, by focusing more on financial rather than on ethical considerations, compared with other countries such as the United States, the United Kingdom, or even Sweden, may lead to a form of “mainstreaming” of SRI processes. The authors explore several convergent mechanisms. First, the authors analyze the importance of the mainstreaming issue in the history of SRI as well as in the contemporaneous debate in the academic literature on the links between financial and extrafinancial (SRI) performance. Second, the authors review the role played by ethical finance laws adopted in France in the early 2000s in the development of the SRI market. Finally, the authors discuss the results of a survey of French SRI analysts working both for large institutional investors and asset managers in France in 2009.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".