Reflective minds and open hearts: Cognitive style and personality predict religiosity and spiritual thinking in a community sample
Bibliographic record
Abstract
Abstract We examined associations between two psychological constructs, analytic cognitive style and the personality facet ‘Openness to Experience’, and several dimensions of religiosity: religious affiliation, strength of faith and spiritual epistemology. In a relatively large (N = 1093), older community sample (M = 55.4 years), analytic cognitive style was associated with a lower probability of affiliating with a religious denomination and a higher probability of possessing strong religious faith. Overall, openness was also associated with a lack of religious affiliation but was positively related to possessing a spiritual epistemology. A path‐analytic model revealed that openness had a positive relationship to both faith and religious denomination that was mediated by spiritual epistemology, but negative direct relationships with religiosity after the meditational effects were taken into account. Taken together, these results extend previous findings on the effect of cognitive style on religiosity and provide a new perspective on the complex relationship between cognitive and personality factors and different dimensions of religiosity. Copyright © 2014 John Wiley & Sons, Ltd.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".