Epistemic buck-passing and the interpersonal view of testimony
Bibliographic record
Abstract
Abstract Two ideas shape the epistemology of testimony. One is that testimony provides a unique kind of knowledge. The other is that testimonial knowledge is a social achievement. In traditional terms, those who affirm these ideas are anti-reductionists, and those who deny them are reductionists. There is increasing interest, however, in the possibility of affirming these ideas without embracing anti-reductionism. Thus, Sanford Goldberg uses the idea of epistemic buck-passing to argue that even reductionists can accept the uniqueness of testimonial knowledge, and Jennifer Lackey gives both speaker and hearer an essential role in testimonial justification, rejecting both reductionism and anti-reductionism in favor of what she calls dualism. After distinguishing a weaker and a stronger notion of buck-passing, we show how anti-reductionists can use the stronger notion to motivate their position, and to answer Goldberg’s and Lackey’s challenges.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| 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".