The Natural Pathways to Atheism: Cognitive Biases, Cultures, and Costs
Bibliographic record
Abstract
Some recent scholarship in the bio-cultural sciences of religion has argued that atheism, like science and doctrinal theology, is less natural than religion. This scholarship, however, draws on problematic natural/unnatural and nature/culture binaries that denaturalize culture and reify a more basic essence/accident binary. Here, I argue that (1) while the suggestion that religion is more natural than atheism indicates something important, it reinforces assumptions about the naturalness of cognition and the unnaturalness of culture that confuse as much as they explain; (2) a clearer understanding of atheism requires the thorough naturalization of culture; (3) multiple pathways to atheism can then be understood as natural developments of both cognitive and cultural predispositions, and analyzed along continua of religion-reinforcing cultural scaffolding and religion-fostering cognitive intuitions; and (4) finally, I suggest an economic frame for better understanding atheist expressions that construes atheism, despite its relative costs and rarity, as a natural though expensive phenomenon. Because atheist expressions are differentiated by the mechanisms (cultural and cognitive) they utilize to pay the costs of overriding religion-fostering intuitions and religion-reinforcing cultural scaffolding, all atheist expressions are naturalized along with culture; however, the basic insight, indicated by the claim that religion is more natural than atheism, is preserved.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".