Indirect epistemic reasons and religious belief
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract If believing P will result in epistemically good outcomes, does this generate an epistemic reason to believe P, or just a pragmatic reason? Conceiving of such reasons as epistemic reasons seems to lead to absurdity, e.g. by allowing that someone can rationally hold beliefs that conflict with her assessment of her evidence's probative force. We explain how this and other intuitively unwelcome results can be avoided. We also suggest a positive case for conceiving of such reasons as epistemic reasons, namely, that they exhibit a form of interpersonal normative parity that's typical of epistemic reasons but not pragmatic reasons. We then link this discussion to religious belief, suggesting that there are sometimes indirect epistemic reasons for religious belief, and that certain characterizations of religious belief are instructive in thinking about how to take account of indirect epistemic reasons.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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 it