Shareholder Primacy Revisited: Does the Public Interest Have Any Role in Statutory Duties?
Bibliographic record
Abstract
The conventional view of corporate regulation is that corporations are to be managed for the benefit of their shareholders. The general law and statutory duties of directors and officers reflect this "shareholder primacy norm", with duties formulated to prevent directors acting otherwise than in the interests of shareholders. However, the general law and statutory duties are not identical. The remedies and enforcement mechanisms differ considerably, which raises the question as to whether the public enforcement of statutory duties carries with it a public interest mandate that general law duties do not. This article considers what role the public interest should have in enforcing statutory duties and whether such a role represents a challenge to the dominant shareholder primacy norm of corporate law. This issue is highly topical as recent decisions have suggested that the statutory duties of directors and officers are limited in their scope to protecting the interests of shareholders, even to the detriment of the public interest. The authors contest that viewpoint and argue that, at least in relation to statutory duties, directors and officers have obligations that extend beyond the narrow conception of the protection of shareholder wealth.
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 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 | 0.014 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.041 |
| Scholarly communication | 0.013 | 0.020 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.014 | 0.018 |
| Insufficient payload (model declined to judge) | 0.005 | 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".