THE IMPLEMENTATION OF THE PRINCIPLE OF COOPERATION OF CIVIL LAW SUBJECTS IN CORPORATE LEGAL RELATIONS
Bibliographic record
Abstract
Abstract: the principle of cooperation of civil law subjects, traditionally referred to as the principles of the law of obligations, has a much deeper content, allowing it to extend its effect to other types of civil law relations. Corporate legal relations, based on a material relations consisting in the unification of efforts by civil law subjects to achieve a common goal – the effective functioning of the corporation – cannot exist in isolation from the idea of cooperation and mutual assistance of its participants. In the article, the author analyzes the content of the principle of cooperation of civil law subjects through the prism of the specifics of the content of corporate legal relations and the problems of its subject composition. As a result, the author comes to the conclusion that in a corporate legal relations, the principle of cooperation is implemented through the doctrine of fiduciary duties both in terms of the imperatives of the information cooperation group aimed at ensuring the awareness of members of the management bodies of the corporation and the activity cooperation group aimed at eliminating accidental obstacles to achieving the goal of the legal relations.
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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 | 0.019 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.036 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".