Bibliographic record
Abstract
Abstract Most commonplace moral failure is not conditioned by evil intentions or the conscious desire to harm or humiliate others. It is more banal and ubiquitous – a form of moral stupidity that gives rise to rationalization, self‐deception, failures of due moral consideration, and the evasion of responsibility. A kind of crude, perception‐distorting self‐absorption, moral stupidity is the cause of many moral missteps; moral development demands the development of self‐knowledge as a way out of moral stupidity. Only once aware of the presence or absence of particular desires and beliefs can an agent have authority over them or exercise responsibility for their absence. But what is the connection between self‐knowledge and moral development? I argue that accounts (such as Kant's and Richard Moran's) which construe instances of self‐knowledge as like the verdicts of a judge cannot explain its potential role in moral development, and claim that it must be conceived of in a way that makes possible a process of self‐refinement and self‐regulation. Making use of Buddhist moral psychology, I argue that when self‐knowledge plays a role in moral development, it includes a quality of attention to one's experience best modeled as the work of the craftsperson, not as judge.
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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 | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.019 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".