Bibliographic record
Abstract
Implementation and scope The Second Company Law Directive (Directive 77/91/EEC, as amended by Directive 92/101/EEC) was implemented into Norwegian law by the Act of 22 December 1995 No 80. The Norwegian parliament has given its consent to inclusion of the amendments introduced by Directive 2006/68/EC in the EEA Agreement, but the exemptions provided for in the Directive have not been implemented into Norwegian law. The scope of the Second Company Law Directive is limited to public limited liability companies. According to the EEA Agreement, the allmennaksjeselskap (“ASA”) is the public limited liability company under Norwegian law to which the Directive applies. The Norwegian legislature has, to a large degree, resolved similar rules in relation to aksjeselskap (“AS”), the private limited liability company under Norwegian law. These two types of limited liability companies are governed by different acts. The Norwegian Public Limited Companies Act of 13 June 1997 (“the PLC Act”) applies only to companies with limited liability which are described as allmennaksjeselskap in the articles of association and registered as such in the Norwegian Register of Business Enterprises. The following description of Norwegian law relates only to ASAs and the PLC Act.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.276 | 0.139 |
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".