Bibliographic record
Abstract
Recent research in analytic epistemology suggests that one can form a rational belief without being in the position to identify and assess the evidence in its support. The reach of such unreflective responses to evidence has been explored in internalist and externalist theories of epistemic justification. It is also at work in defences of the rationality of non-human animals and young children. Unreflective responsiveness to evidence is in tension with reflective accounts, according to which being in the position to identify and assess the relevant reasons is necessary for rational belief and action. We investigate the relation between these two rival characterizations of rational belief by engaging with recent work in developmental psychology and integrating it with lessons coming from the study of epistemic defeaters. We contend that the roots of epistemic rationality lie in what subjects do at the unreflective level. The arguments we provide speak against the widely held notion that the reflective minds of adult humans differ in kind from the presumed unreflective minds of young children and non-human animals.
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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 | 0.007 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.037 |
| Scholarly communication | 0.006 | 0.010 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".