A systems perspective on human flourishing: Exploring cross-country similarities and differences of a multisystemic flourishing network
Bibliographic record
Abstract
A systems perspective explains dynamics of human flourishing based on the relations between its constituents. Using cross-sectional data from emerging adults (ages 18–29) in 10 countries (N = 7221), this study explored the interrelatedness among constituents of flourishing – happiness & satisfaction with life, mental & physical health, meaning & purpose, character & virtue, close social relationships, and financial & material stability – within and across countries. Each country’s sample was characterized by a unique flourishing network, although there were similarities. Except for financial & material stability, all constituents were positively related across samples. Financial & material stability showed the highest cross-country heterogeneity in its relations. Happiness & satisfaction with life and meaning & purpose showed the strongest interrelations. A higher level of one constituent was associated with lower network connectivity. This systems perspective extends existing knowledge about the conceptualization of flourishing and how people can be supported to achieve and maintain complete well-being.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| 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".