Bibliographic record
Abstract
56 arms exports, EU code of conduct 468 Arriba Ltd v Petroleos Mexicanos 176 Articles on Responsibility of States for Internationally Wrongful Acts, 2001 xxi Ascoly, N. 161 Asian Agricultural Products Ltd v Republic of Sri Lanka 421 Asian Pacific Economic Cooperation (APEC) Forum, Business Code of Conduct, 1999 530 asset recovery 513-15 'assimilationist orientation' 141 asylum 58 Re Attorney-General of Canada and Ward 80 Australia Corporate Code of Conduct Bill, 2000 41-7 corporate codes of conduct 43-5 enforcement 46-7 extraterritorial operation 41-2 reporting 45-6 minerals industry 384-408 Australian Securities and Investments Commission, reports to 45-6 Australian-Asian Pacific Mining Network Principles for the Conduct of Company Operations within the Minerals Industry, 1997 343-53 definitions 343-5 environmental standards 347-9 extraterritoriality 345 human rights issues 349-50 independent monitoring, auditing and reporting 352-3 labour standards and workers rights 350-52 land rights, land ownership and indigenous issues 346-7 principles 345-53 Award in the Matter of an Arbitration Between Kuwait and the American Independent Oil Company (AMINOIL) xix Baade, H.W. xxi Baia Mare oil spill 41 balance of payments and financing 9-10 Bano v Union Carbide Corp 33 Basel Protocol on Liability and Compensation for Damage Resulting from Transboundary Movements of Hazardous Wastes and their Disposal, 1999 214-17 Beanal v Freeport-McMoRan Inc 33 behaviour, standards of 20, 541 benchmarking 404 Bendell, J. xxii
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.817 | 0.816 |
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".