Bibliographic record
Abstract
actiones exercitoria/institoria 22 affirmative asset partitioning 7 Age Discrimination in Employment Act (ADEA) 145, 174 agency costs 35 agency law 74 corporations as principals of their employee-agents 44-5 general rules of agency 87, 89 Aktiengesellschaft (AG), German public limited company 259, 260 Alexander, Janet Cooper 71 Alexander I (Emperor of Russia) 25 alter ego doctrine 143, 186 see also veil-piercing standards alter ego plus 86, 96, 97-101 in Canada 246 case law 87-9 in Ohio 94-7 "personal ends" of shareholders versus "corporate ends" 87, 88, 89 shortcomings 45 veil piercing, statutory contexts 167, 168 Walkovszky approach 87-9, 90 whether resulting in direct or vicarious liability/whether important 93-4 why control alone insufficient to pierce corporate veil 91-3 American Civil War 31 Americans with Disabilities Act (ADA) 145, 174 Ames, Samuel 21, 31, 35, 38, 39, 40 Angell, Joseph K. 21, 31, 35, 38, 39, 40 anti-capitalist movement 3 applicable law see also choice of law choice of law in state law cases 133-6 important cases Kalb, Voorhis & Co. v. Am.Fin.Corp. (1993) 141 Soviet Pan Am Travel Effort v. Travel Committee, Inc. (1991) 135-6, 141 U.S. v. Bestfoods (1998) 136-40 Kimball Foods test 137, 138-9 law or equity 142-4 underlying claim based on federal law 136-40 United States 132-3, 136-40 veil piercing and contractual choice of law provisions 140-41 arbitrage, statutory 148-51 asset lock-in 7 at-will partnership 7 Australia and New Zealand, veil piercing in 242-4 automobile driving 74 bankruptcy 8, 11, 50, 60, 72 Bankruptcy Code, US 163, 182, 189 banks/bank shareholders 39, 40, 48-9 Berle, Adolf 193-4 Bhopal disaster, Union Carbide 228 Blackstone, William 19-20, 21 Blumberg, Phillip 51-2 British Petroleum (BP) 10, 76 Bubble Act (1720), UK 29 burden of proof, veil piercing 103-5 California, US 74, 100 alter ego plus 97, 100 limited liability system 40-42 Canada, veil piercing in 244-51 alter ego doctrine 246 305
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.769 | 0.639 |
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".