Bibliographic record
Abstract
Philosophical accounts of self-deception have tended to focus on what is necessary for one to be in a state of self-deception or how one might arrive at such a state. Less attention has been paid to explaining why, so often, self-deceived individuals resist the proper explanation of their condition. This resistance may not be necessary for self-deception, but it is common enough to be a proper explanandum of any adequate account of the phenomenon. The goals of this essay are to analyze this resistance, to argue for its importance to theories of self-deception, and to offer a view of self-deception that adequately accounts for it. The view’s key idea is that, in at least some familiar cases, self-deceived individuals maintain their condition by confusing a nonepistemic satisfaction they take in their self-deceived beliefs for the epistemic satisfaction that is characteristic of warranted beliefs. Appealing to this confusion can explain both why these self-deceived individuals maintain their unwarranted belief and why they resist the proper explanation of their condition. If successful, the essay will illuminate the nature of belief by examining the limits of the believable.
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.
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 | 0.010 | 0.041 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.039 |
| Scholarly communication | 0.007 | 0.012 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".