Conception of Wisdom Resources Among Chinese Emerging and Young Adults
Bibliographic record
Abstract
Emerging adults’ approaches to personal development in life may be revealed in their conception of wisdom resources (WRs), i.e., factors that lead to the development of wisdom. We explored the conception of WRs among 453 Chinese emerging and young adults aged 18–30. Participants completed an online questionnaire covering 19 potential WRs proposed by experts in the psychological study of wisdom and non-experts in Western and Chinese cultures. Participants indicated how much they agreed these factors lead to wisdom development. Afterward, they reported additional WRs not listed. The results revealed that “willingness to learn” was the most endorsed WR, while “religious/spiritual experience” was the least. Moreover, the conception of WRs varied significantly across different genders, ages, and education levels. Finally, although the conception of WRs among our participants was similar to that among Western laypeople, participants reported culturally unique WRs (e.g., motivation to pursue positive experiences, physical and psychological health). These findings may inspire future research on emerging adults’ wisdom development.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".