Bibliographic record
Abstract
Abstract Why comply with epistemic norms? In this paper, I argue that complying with epistemic norms, engaging in epistemically responsible conduct, and being epistemically trustworthy are constitutive elements of maintaining good epistemic relations with oneself and others. Good epistemic relations are in turn both instrumentally and finally valuable: they enable the kind of coordination and knowledge acquisition underpinning much of what we tend to associate with a flourishing human life; and just as good interpersonal relations with others can be good for their own sake, standing in good epistemic relations is good for its own sake. On my account, we have reason to comply with epistemic norms because it is a way of respecting the final value of something that also tends to be an instrumentally valuable thing: good epistemic relations. Situating the account within the recent social turn in debates about epistemic instrumentalism, I argue that the dual‐value aspect of good epistemic relations can explain important anti‐instrumentalist intuitions, in a well‐motivated way, within a broadly instrumentalist framework.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 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".