Reflective Knowledge and Epistemic Circularity
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 This paper examines the kind of epistemic circularity which, according to Ernest Sosa, is unavoidably entailed whenever one has what he calls ‘reflective’ knowledge (that is, knowledge that p such that the knower reflectively endorses the reliability of the epistemic sources by which she came to her belief that p). I begin by describing the relevant kind of circularity and its role in Sosa's epistemology, en route presenting and resisting Sosa's arguments that this kind of circularity is not vicious. Then I consider the somewhat complex relationship between Sosa's views on epistemic circularity and his response to the Problem of Easy Knowledge, arguing that (on one interpretation of Sosa, at least) a complete solution to that problem cannot be extracted from Sosa's work unless the aforementioned epistemic circularity can be proved non-vicious.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 it