Why Anglo corporations should not be trusted: And how they could be trusted
Bibliographic record
Abstract
This paper identifies eight reasons why it is rational not to trust large complex Anglo corporations and how these reasons could be removed. Two reasons are that directors are overloaded with information but also lack information independent of management to evaluate management and the business. A third reason is that directors do not have systemic processes to discover if their trust in management is misplaced. A fourth and fifth reason is that directors have absolute power to manage their own conflicts of interest and a dominant shareholder can enter into related party transactions that can unfairly extract value. The sixth and seventh reasons are the incentive for directors not to blow the whistle on their colleagues and the impotence of a director to act alone. The eighth reason is that shares can be manipulated and traded covertly. Four changes in corporate constitutions are identified that could remove these concerns. These are to establish a watchdog board, introduce cumulative voting for directors, establish stakeholder councils and introducing sunlight share trading.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".