Décision d'investissement des petites entreprises chinoises dans un système de responsabilité
Bibliographic record
Abstract
Dans cet article, l'auteur analyse la nature et les impacts du contrat de location des petites entreprises chinoises, dans un contexte de système de responsabilité. Dans un contrat typique, le locateur du bien convoité est le propriétaire, tandis que le locataire est le gestionnaire qui ne détient qu’une responsabilité partielle, soit celle de verser un montant fixe au locataire à certaines conditions. Il montre que l'entrepreneur-locateur peut accroître sa richesse en augmentant le risque total de l'entreprise louée, lorsque l’information concernant ces décisions extérieures n'est pas totalement divulguée sur le marché. De plus, ¡'entrepreneur-locataire n'a aucune incitation à réinvestir ses bénéfices dans l'entreprise, étant donné l'incertitude entourant le bénéfice cible indiqué dans le contrat renouvelé. Ces deux aspects peuvent avoir des conséquences importantes sur le développement des entreprises rurales à long terme.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".