A Proposal for a Scientifically-Informed and Instrumentalist Account of Free Will and Voluntary Action
Bibliographic record
Abstract
The ability to choose freely is captured under the umbrella concept of "free will," which designates an ability that plays a crucial role in most understandings of autonomy and responsibility and, thus, bears significance for moral practice and moral theory. Some claim that neuroscience research challenges the existence of free will/voluntary action while some who adopt stronger eliminativist stances have gone as far as describing free will as an illusion. Contrary to that, those relying on realist stances have restated the foundational value and role of folk psychological concepts of voluntary action and free will in, for example, the domains of ethics and law. An emerging body of research in cognitive science and social psychology has generated results suggesting that the phenomena captured by the concepts describing free will and voluntary action are dynamic and responsive to priming and framing effects. We propose that this body of research suggests the existence of dynamic and consequential properties of free will better captured following pragmatist theory and instrumentalist epistemology. This contrasts the simpler static concept of free will and the related metaphysics that was at the basis of earlier debates and structured around the poles of realism and eliminativism. This paper contextualizes ontological and epistemological debates about free will, describes a scientifically-informed and instrumentalist account of the concept of free will and voluntary action consistent with recent research in cognitive science, and discusses its implications for research (e.g., theoretical assumptions of research paradigms, interdisciplinary research) and practice (e.g., impact on self-image and social behavior).
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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 | 0.011 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.039 |
| Scholarly communication | 0.009 | 0.019 |
| Open science | 0.005 | 0.007 |
| Research integrity | 0.009 | 0.008 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".