Bibliographic record
Abstract
Free will sceptics claim that we lack free will, i.e. the command or control of our conduct that is required for moral responsibility. There are different conceptions of free will: it is sometimes understood as having the ability to choose between real options or alternatives; and sometimes as being the original or true source of our own conduct. Whether conceived in the first or in the second way, free will is subject to strong sceptical arguments. However, free will sceptics face a difficulty: doubting the existence of free will might itself be problematic, whether free will exists or not. Three main considerations are offered in support of this claim. Firstly, it is said that free will sceptics confuse contexts: even if they are right to doubt the existence of free will in the philosophy classroom, they are wrong to do so in other contexts, such as day-to-day interactions or a court of law. Secondly, it is said that free will scepticism is incompatible with inescapable and indispensable human practices such as practical deliberation or moral criticism and evaluation. For, to deliberate about what to do, we must presume that we have true options or alternatives. And to judge that some human practices are wrong, we need to assume the existence of moral responsibility. Thirdly, free will scepticism is sometimes said to be self-defeating, on the grounds that it cannot be rational to believe free will scepticism, because free will is required for rationality. This thesis critically assesses these arguments. None takes free will scepticism down, but all are instructive about how not to be a sceptic. They trace the ‘contours’ of free will scepticism by discrediting some conceptions of free will and some arguments for free will scepticism.
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 | 0.040 | 0.069 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.009 | 0.132 |
| Scholarly communication | 0.020 | 0.022 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.014 | 0.023 |
| Insufficient payload (model declined to judge) | 0.005 | 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".