Bibliographic record
Abstract
Take determinism to be the thesis that for any instant, there is exactly one physically possible future (van Inwagen 1983, 3), and understand incompatibilism regarding responsibility to be the view that determinism is incompatible with moral responsibility. Of the many different arguments that have been advanced for this view, the crux of a relatively traditional one is this: If determinism is true, then we lack alternatives. If we lack alternatives, then we can't be morally responsible for any of our behavior. Therefore, if determinism is true, then we can't be morally responsible for any of our behavior. The second premise is a version of the principle of alternate possibilities (PAP): persons are morally responsible for what they have done only if they could have done otherwise. This principle, in conjunction with the assumptions that responsibility requires control, and that this control consists in the freedom to do otherwise, provides the vital bridge from the initial premise to the skeptical conclusion. Some incompatibilists, joining ranks with various compatibilists, have sought to reject this principle by invoking so-called ‘Frankfurt examples.’
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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.027 |
| Scholarly communication | 0.004 | 0.008 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".