Mechanisms of Secularization: Testing Between the Rationalization and Existential Insecurity Theories
Bibliographic record
Abstract
The study tests two competing explanations of the secularization process related to rationalizing worldviews and decreasing existential insecurity. While the former explanation argues that people are unwilling to join religious groups because of increasing mechanistic understanding of the world that clashes with religious views (and is rather irreversible), the latter argues that it is the decreasing insecurity that causes secularization and that this trend can be reversed with increasing insecurity. In the present study, 811 secular participants from the USA and Poland played a modified version of the Nash demand game, which simulates dilemmas indexing cooperative insecurity. Participants were randomly assigned to either a secure or insecure environment, manipulated by the parameters of the Nash demand game, and we assessed whether they would be willing to join costly normative groups that regulate cooperation in the game. Crucially, participants were randomly assigned either to a secular condition (choosing between a secular normative group and a group with no norms)—our manipulation check—or a religious condition (choosing between a normative group with religious framing and a group without norms)—main test between the two theories. The results showed that participants in the secular condition were more likely to choose the normative group in the insecure compared to the secure environment, but this difference was inconclusive in the religious condition. However, when re-assigning participants from insecure to secure environments and vice versa, we found strong support for the existential insecurity theory. We discuss potential explanations for the discrepancy between stated and actual behavior as well as potential motivations for joining religious normative groups. This submission has been positively recommended by PCI RR (links to Stage 1 and Stage 2 recommendations).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.010 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".