Employee protection and pension fund governance: possibilities for convergence?
Bibliographic record
Abstract
The question raised in this thesis is whether the power granted by employee ownership of a significant amount of shares through pension funds can be used to promote employee interests rather than solely shareholders' interests. Chapter I studies the impact of globalization on employee rights' protection and concludes that a market-based approach, using the power generated by the ownership of shares on corporate management should be privileged to ensure that employee issues are taken into account. However, a study of the legal and practical limits facing shareowners willing to exercise some influence on corporate management needs to be done, which will consist of Chapter II. A review of the practical and legal constraints in investments in the context of fiduciary duties will form Chapter III. The conclusion, taking account of the different limits facing pension funds, will recommend a more active approach to pension fund governance, but in line with the interests of employees as pension fund shareholders.
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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 | 0.008 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.016 |
| Scholarly communication | 0.016 | 0.024 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.014 | 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".