Testing the religion/spirituality-mental health curvilinear hypothesis using data from many-analysts religion project
Why this work is in the frame
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Bibliographic record
Abstract
Findings from the recent Many-Analysts Religion Project (MARP) have been characterized as supporting a robust positive relationship between various measures of religion and aspects of well-being. However different conceptualizations of religiosity (e.g. identity, attendance, belief, conviction) can theoretically be expected to display distinct (e.g. non-linear or curvilinear) patterns of relationships with different manifestations of well-being. Additionally extant analyses of MARP data have not addressed how influences such as social support affect the relationship between religion/spirituality (R/S) and well-being. The present analysis restricted to a subset of countries with the predominant religion of Christianity found that net demographic controls, meaning in life, and enjoyment of life was significantly higher among those identifying as religious, attending religious service, and identifying as believing in God. However, when God was modelled quadratically, both meaning in life and enjoyment of life demonstrated a “J-shaped” relationship, although the nuances for their interpretation were distinct. Thus, partial support was found for a quadradic or “J-shaped” relationship between religious belief and mental well-being. Finally, adjusting estimates for social support tended to diminish the importance of R/S variables for predicting well-being, suggesting that increased well-being evinces a complex relationship with religious belief.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it