Religiosity over the Life Course and Flourishing: Are There Educational Differences?
Bibliographic record
Abstract
Background Human flourishing offers a more inclusive and comprehensive assessment of well-being beyond the absence of mental illness. Research on religion and well-being has generally focused on singular measure of mental or physical well-being and emphasized different stages rather than longer stretches of the life course. This study seeks to address these gaps. Purpose We focus on the interaction between transitions in religiosity and educational attainment in predicting flourishing in mid-life adults. By positioning the effects of transitions in religiosity across levels of education—a common axis of stratification for religious belief and behavior—we test the enhanced resource perspective that the better educated may benefit more from sustained or increased religiosity over the life course. Methods Data for this study come from MIDUS, a nationally representative sample of United States adults (N = 3030). We created a composite measure of flourishing across the psychological, social, and emotional domains and conducted a series of regression models. Results We observed that people with stable high religiosity between childhood and adulthood had the best flourishing profiles, suggesting that the association between religiosity and flourishing may begin to take shape in childhood. We found that both stable high or increases in religiosity between childhood and adulthood were found to be most beneficial for the flourishing scores of the college educated compared to those with less than a college degree. We found no support for the hypothesis that the less educated “substitute” religion as a compensatory mechanism for their deficiency in secular resources. Conclusion and Implications While flourishing has typically been excluded as an outcome of study in the burgeoning religion-health literature, the results of the current study suggest much could be learned from its inclusion. At the population level, studying flourishing—with attention to differences by educational and religious dimensions—might represent a more useful way to understand how people can achieve a state of happiness and come to realize more meaningful lives.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.003 | 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".