Religious Disagreement, Mystical Experience, and Doxastic Minimalism: Critical Notice of John Pittard’s Disagreement, Deference, and Religious Commitment
Bibliographic record
Abstract
In his recent book, Disagreement, Deference, and Religious Commitment, John Pittard challenges J.L. Schellenberg’s rejection of mystical experience as worthy of enjoying presumptive doxastic trust for two main reasons. First, Pittard holds that Schellenberg wrongly focuses only on avoiding error while placing no emphasis on gaining truth. I argue that, contra Pittard, Schellenberg’s account nicely balances the competing epistemic goals of gaining truth and avoiding error. Second, Pittard thinks that Schellenberg’s criteria for presumptive trust in that of universality and unavoidability are arbitrary. I counter that Schellenberg’s criteria are not arbitrary since they are the best way of achieving these goals. I conclude that despite not enjoying presumptive doxastic trust, this in itself does not entail that mystical experiences are never trustworthy.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| 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".