Attending Church Encourages Acceptance of Atheists? Suppression Effects in Religion and Politics Research
Bibliographic record
Abstract
Abstract A proliferation of religion variables presents opportunities for those studying religion and politics in the U.S. However, many studies in this growing subfield demonstrate the pitfalls of reporting the “independent” effects of variables without qualification. This is especially evident in work on Christian nationalism where researchers often make the claim that worship attendance promotes more pro-social or liberal outcomes, while Christian nationalism promotes more conservative and less pro-social outcomes. We demonstrate that this finding—and others like it—represents a new version of an old problem: a particular structure of relationships between variables that can induce sign switches based on suppression effects (Lenz and Sahn in Political Analysis 29(3):356–369, 2021). While we do not encourage skipping controls, some commonly reported results warrant caution. Researchers should generally avoid unconditional claims about attendance encouraging liberalism. We point a way forward that prioritizes theories of religious communication and encourages the careful examination of relationships via interactions.
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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 | 0.018 | 0.059 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".