Bibliographic record
Abstract
William James has traditionally been seen as a critic of evidentialism, with his claim that “Our passional nature not only lawfully may, but must, decide an option between propositions, whenever it is a genuine option that cannot by its nature be decided on intellectual grounds” being understood as saying that in certain cases we have the right to believe beyond what is certified by the evidence. However, there is an alternate, “expansive”, reading of James (defended most recently by Cheryl Misak, Robert Talisse, and Scott Aikin) that portrays him not as criticizing evidentialism itself, but only as trying to expand our conception what we should count as evidence. There are two main strategies for defending this ‘expansive’ reading. The first approach relies on showing that the logic of James’s argument itself relies on highlighting a new type of evidence rather than rather than undermining the need for our beliefs to be grounded in evidence, while the second approach appeals to aspects of James’s biography to show that he always intended something closer to the expansive reading. It is argued here that neither approach is persuasive, and that the anti-evidentialist reading of James remains the most probable.
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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 | 0.009 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.017 |
| Scholarly communication | 0.009 | 0.012 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.007 | 0.010 |
| Insufficient payload (model declined to judge) | 0.002 | 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".