Beyond God and government: The role of personal control in supporting citizens’ well-being in the face of changing economy and rising inequality
Bibliographic record
Abstract
Based on previous theoretical models, the present research investigated three different psychological constructs (religious belief, trust in government, and the experience of personal control) as moderators of the link between country’s economic growth (i.e., Gross Domestic Product) and income inequality (i.e., Gini) on health, happiness, and life satisfaction. Using a large cross-national data set (N = 490,579), we found that personal control predicted health, happiness, and life satisfaction above and beyond reliance on God and trust in government. Religious belief predicted greater health and buffered the negative effect of income inequality on health only in wealthy economies, but yielded negative correlations with health in poor economies. The associations between personal control and trust in government with well-being outcomes were consistently positive across different levels of countries’ GDP and Gini. Further, personal control also served a compensatory function by buffering the negative effect of income inequality in wealthy economies.
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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 | 0.007 |
| 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 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| 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".