Can Critical Religion Play by Its Own Rules? Why There Must Be More Ways to Be “Critical” in the Study of Religion
Bibliographic record
Abstract
Abstract According to some of the most vocal proponents of Critical Religion (CR), taking CR seriously entails accepting that religion as an analytic category leads to reification and naturalization and is unduly normative, thus critical scholars of religion should abandon it and restrict ourselves to studying discursive battles over the uses of religion. In this article, we build on the case for alternative critical proposals by offering an immanent critique of the work of proponents of CR. In doing so, we identify and outline CR’s major analytical flaws, which we name as follows: inconsistent historicization, crypto-normativity, and arbitrary abandonment. We conclude that CR scholarship cannot but fail to live up to its own ideals, and moreover that much would be lost were we to limit the critical study of religion to CR.
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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 | 0.073 | 0.077 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.009 | 0.158 |
| Scholarly communication | 0.018 | 0.040 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.009 | 0.023 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".