Valeurs confucéennes en Chine mesurées par les valeurs personnelles et domaines motivationnels de Schwartz
Bibliographic record
Abstract
Cette recherche identifie les valeurs culturelles confucéennes chinoises par le biais des 45 valeurs personnelles du Schwartz Value Survey. L'enquête empirique se fonde sur six entretiens qualitatifs et une administration de 1674 questionnaires en Chine. Les 45 valeurs personnelles chinoises se positionnent correctement selon la structure théorique de Schwartz. Les valeurs dominantes en Chine sont de nature confucéenne et collectiviste. Puis, les femmes sont davantage confucéennes que les hommes. Enfin, la jeune génération adhère de plus en plus aux valeurs occidentales et individualistes. Au niveau des implications managériales, nous donnons des recommandations en marketing et GRH en Chine.
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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 | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".