Putting the “We” Into Well‐being: Using Collectivism‐Themed Measures of Well‐Being Attenuates Well‐being's Association With Individualism
Bibliographic record
Abstract
Studies repeatedly have documented that societal well‐being is associated with individualism. Most of these studies, however, have conceptualized/measured well‐being as individual life satisfaction—a type of well‐being that originates in Western research traditions. Drawing from the latest research on interdependent happiness and on family well‐being, we posit that people across cultures pursue different types of well‐being, and test whether more collectivism‐themed types of well‐being that originate in Confucian traditions also are associated with individualism. Based on data collected from 2,036 participants across 12 countries, we find support for the association between individual life satisfaction and individualism at the societal level, but show that well‐being's association with individualism is attenuated when some collectivism‐themed measures of well‐being are considered. Our article advances knowledge on the flourishing of societies by suggesting that individualism may not always be strongly linked with societal well‐being. Implications for public policies are signaled.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| 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".