Free Will and Reactive Attitudes: Perspectives on P.F. Strawson's 'Freedom and Resentment'
Bibliographic record
Abstract
The philosophical debate about free will and responsibility has been of great importance throughout the history of philosophy. In modern times this debate has received an enormous resurgence of interest and the contribution in 1962 by P.F. Strawson with the publication of his essay "Freedom and Resentment" has generated a wide range of discussion and criticism in the philosophical community and beyond. The debate is of central importance to recent developments in the free will literature and has shaped the way contemporary philosophers now approach the problem. This volume brings together a focused selection of the major contributions and reactions to the free will and responsibility debate inspired by Strawson's contribution. McKenna and Russell also provide a comprehensive overview of the debate. This book will be of great value to scholars of Strawson and those interested in the free will debate more generally.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.031 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".