Bibliographic record
Abstract
China’ Company law was amended in 2005, in which the Stockholders’ right to information has been protected much better than the last edition, for instance, confirming the shareholders right to consult the account books in the limited liability company. This new company law enhances shareholders’ rights to a large extent, and promotes the prosperity of capital markets and numerous investments. With the development of society, the law to protect the Stockholders’ right to information is gradually outdated, some issues such as the scope of shareholders right to consult the account book, the subject and object conditions, the procedure, and the judicial relieves are not covered by the revised law, which leaded to some disputes. This paper is trying to present some discussions towards these issues, and especially, focusing on the protection of shareholders’ inspection right of accounting books, which plays a fundamental role in the exercise of shareholders’ other rights. A strict law is one efficient way to protect shareholders’ rights; furthermore, bringing up a good stock culture will be more significant in a long term.
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 | 0.013 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.015 |
| Scholarly communication | 0.008 | 0.015 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.017 | 0.013 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".