Distributed Cognition and the Will
Bibliographic record
Abstract
Philosophers and behavioral scientists discuss what, if anything, of the traditional concept of individual conscious will can survive recent scientific discoveries that human decision-making is distributed across different brain processes and through the social environment. Recent scientific findings about human decision making would seem to threaten the traditional concept of the individual conscious will. The will is threatened from “below” by the discovery that our apparently spontaneous actions are actually controlled and initiated from below the level of our conscious awareness, and from “above” by the recognition that we adapt our actions according to social dynamics of which we are seldom aware. In Distributed Cognition and the Will, leading philosophers and behavioral scientists consider how much, if anything, of the traditional concept of the individual conscious will survives these discoveries, and they assess the implications for our sense of freedom and responsibility. The contributors all take science seriously, and they are inspired by the idea that apparent threats to the cogency of the idea of will might instead become the basis of its reemergence as a scientific subject. They consider macro-scale issues of society and culture, the micro-scale dynamics of the mind/brain, and connections between macro-scale and micro-scale phenomena in the self-guidance and self-regulation of personal behavior. Contributors George Ainslie, Wayne Christensen, Andy Clark, Paul Sheldon Davies, Daniel C. Dennett, Lawrence A. Lengbeyer, Dan Lloyd, Philip Pettit, Don Ross, Tamler Sommers, Betsy Sparrow, Mariam Thalos, Jeffrey B. Vancouver, Daniel M. Wegner, Tadeusz W. Zawidzki Bradford Books imprint
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.024 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".