Childhood experiences and adult community participation in secular and religious contexts in 22 countries
Bibliographic record
Abstract
Participation in community groups (including both secular and religious groups) is associated with improved health, well-being, and societal cohesion. However, less is known about conditions that increase community participation, especially childhood factors. Using data from 202,898 adults across 22 countries, this study evaluated childhood antecedents of adult community participation in both secular and religious contexts. Associations were examined in each country separately, and also cross-nationally by meta-analytically pooling country-specific estimates. Results suggest that frequent religious service attendance in childhood was the strongest predictor for both adult secular community participation and adult religious service attendance. In addition, several other childhood experiences, including living comfortably financially, child abuse, feeling like an outsider in the family, having excellent self-rated health, a later birth cohort, and being male, were also each associated with a greater likelihood of adult weekly + secular participation; The childhood experiences of having good relationship with father, having married parents, and an earlier birth cohort were also each positively associated with adult weekly + religious service attendance. The direction and strength of these associations differed by country, indicating diverse societal influences. The findings provide insights into childhood experiences that may shape different forms of community participation later in life across societies.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".