Life satisfaction, skills diffusion, and the Japan Paradox: Toward multidisciplinary research on the skills trap
Bibliographic record
Abstract
Recent research argues skills are the key to socio-economic success for individuals and societies, ranging from labor market outcomes to non-economic well-being. Drawing on these arguments, this study re-examines the linkage between the skills level of societies and people’s life satisfaction (LS), using the joint European Values Study–World Values Survey data for 48,930 individuals in 32 countries. Multilevel regressions confirm the positive association between these two variables, as suggested by the literature. However, there exists one outlier where the average LS score is markedly low despite its high skills level: Japan. Examining the mechanism behind this overall cross-national trend and Japan’s peculiar position—Japan Paradox—is a promising agenda for future multidisciplinary research, as it may reflect not only the favorable link between skills and LS but the hidden socio-economic structure—Skills Trap—that prevents highly skilled people from enjoying better well-being even under seemingly well-developed social conditions.
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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 | 0.008 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".