The Analysis of Tendency of Transition from Collectivism to Individualism in China
Bibliographic record
Abstract
This essay introduces Individualism and Collectivism dimension of a culture and the differences between the two patterns, indicating possible factors promoting the shift from collectivism to individualism, and describes as well as analyses the current changes in China in different fields and tendency of China to transfer from collectivism to individualism. Key words: Collectivism; Individualism; Post-80s Generation in China Resume: Cet essai introduit la dimension de l’individualisme et du collectivisme d'une culture et les differences entre ces deux modeles en indiquant les facteurs possibles de promouvoir le passage du collectivisme a l'individualisme, decrit et analyse les changements actuels en Chine dans de differents domaines et la tendance de la transition du collectivisme a l'individualisme. Mots-cles : collectivisme ; individualisme ; la generation post-80 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".