Bibliographic record
Abstract
There are family enterprises everywhere in the world. In China, more than 80% of the enterprises run by private citizens take the family color because of the unique charm of the family enterprises---the powerful cohesiveness , the quickness in response, the low cost in mental contract. But after the initial success in competition, how to expand the business seems to be an insurmountable obstacle because of the different challenges and uncertainties. Then how to overcome this problem? The only way is to reform the system of family enterprises and introduce the system of the modern enterprises. Key words: Family enterprise, family system, organizational change Resume : Les entreprises familiales existent partout dans le monde entier .En Chine , plus de 80% des entreprises privee ont des couleurs familiales , c’est parceque les entreprises familiales ont la charme unique , c’est a dire , la puissance de solidarite , la rapidite de reaction , le cout reduit du contract mental etc . Apres les premiers succes dans les concurrences du marche , ensuite il faut bien sur prendre en consideration l’expansion et le developpement de l’entreprise .Et puis , c’est pourtant un obstacle insurmontable en raison de diverses perplexites et defis . Comment resoudre ce probleme ? La seule solution est de reformer le systeme de l’entreprise familiale , appliquer le systeme moderne de l’entreprise. Mots-cles: entreprise familiale , systeme familial , transformation de l’organisation 摘要：家族企業在世界各地普遍存在，中國民營企業 80%以上帶有家族色彩，是因為家族企業有著特有的魅力。具有凝聚力強，反應迅速，心理契約成本低等優勢。但當企業起步爭得一席之地後，接下來要考慮的當然是如何進一步發展壯大。然而，這卻常常是一道難以逾越的坎，因為這裏面臨著種種困惑和挑戰。如何才能克服家族企業的發展瓶頸，把企業做大、做強？唯一的辦法就是改造家族企業體制，推行現代企業制度。 關鍵詞：家族創業；家族制；組織變革
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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 | 0.006 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.012 | 0.008 |
| Scholarly communication | 0.005 | 0.009 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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".