Cognitive Biases and Religious Belief: A Path Model Replication in the Czech Republic and Slovakia With a Focus on Anthropomorphism
Bibliographic record
Abstract
We examined cognitive biases that underlie individual differences in supernatural beliefs in nationally representative samples from the Czech Republic and Slovakia (total N = 2,022). These countries were chosen because of their differing levels of religious belief despite their cultural similarity. Replicating a previous study with North American samples, we found that anthropomorphism was unrelated to belief in God but was consistently related to paranormal beliefs. Living in a highly religious area was related to a lower tendency to anthropomorphize. We examined this relationship further to find that anthropomorphism was related to belief in God for nonreligious participants, was inversely related to belief in God among religious Slovaks, and not related for religious Czechs. These findings suggest that anthropomorphism predicts belief in God for people who are unaffiliated, but this relationship disappears or is reversed for religious believers participating in a Christian religious tradition.
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How this classification was reachedexpand
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".