Types of company directors and officers
Bibliographic record
Abstract
The key directors on our board all know what I have done to make our company perform. They made me the CEO because I was the best candidate they could find. I have worked my butt off at great sacrifice to my family and personal life to transform this company and make it perform better than it ever had before. I don't need any of their penetrating questions or second-guessing. Thanks to my own tough bargaining, I am financially secure and set for life. If they can get someone better than me to do the job, then that's what they should do. Until then let them back off and stay out of my way. David SR Leighton and Donald H Thain, Making Boards Work , Whitby, Ontario, McGraw-Hill Ryerson Ltd, (1997) 6 (quote from an anonymous sceptical Canadian CEO). We trained hard – but every time we were beginning to form up into teams, we would be reorganised. I was to learn later in life that we tend to meet any new situation by reorganising, and [what] a wonderful method it can be for creating the illusion of progress while producing confusion, inefficiency and demoralisation. The famous words of Roman writer Gaius Petronius: Petronii Arbitri Satyricon , AD 66 as quoted by Nigel Kendall and Arthur Kendall, Real-World Corporate Governance , London, Pitman Publishing (1998) 212. Definition of ‘director’ De jure and de facto directors covered The corporations laws of most common law jurisdictions contain a definition of ‘director’.
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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.100 | 0.037 |
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".