Children's moral evaluations of and behaviors toward people who are curious about religion and science
Bibliographic record
Abstract
Abstract Although children exhibit curiosity regarding science, questions remain regarding how children evaluate others' curiosity and whether evaluations differ across domains that prioritize faith (e.g., religion) versus those that value questioning (e.g., science). In Study 1 (n = 115 5- to 8-year-olds; 49% female; 66% White), children evaluated actors who were curious, ignorant and non-curious, or knowledgeable about religion or science; curiosity elicited relatively favorable moral evaluations (ds > .40). Study 2 (n = 62 7- to 8-year-olds; 48% female; 63% White) found that these evaluations generalized to behaviors, as children acted more pro-socially and less punitively toward curious, versus not curious, individuals (ηp2 = .37). These findings (data collected 2020–2022) demonstrate children's positive moral evaluations of curiosity and contribute to debates regarding overlap between scientific and religious cognition.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".