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Record W1504414017

Distributed Cognition and the Will: Individual Volition and Social Context

2007· book· de· W1504414017 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typebook
Languagede
FieldDecision Sciences
TopicComplex Systems and Decision Making
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)ConsciousnessScale (ratio)Environmental ethicsEpistemologySociologyPsychologyPhilosophyHistoryGeography
DOInot available

Abstract

fetched live from OpenAlex

Recent scientific findings about human decision making would seem to threaten the traditional concept of the individual conscious will. The will is threatened from 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. ZawidzkiDon Ross is Professor of Philosophy and Professor of Finance, Economics, and Quantitative Methods at the University of Alabama at Birmingham and Professor of Economics at the University of Cape Town, South Africa. David Spurrett is Professor of Philosophy at the Howard College Campus of the University of KwaZulu-Natal, South Africa. Harold Kincaid is Professor and Chair of the Department of Philosophy and Director of the Center for Ethics and Values in the Sciences at the University of Alabama at Birmingham. G. Lynn Stephens is Professor of Philosophy at the University of Alabama at Birmingham.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.912
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0020.002
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.120
GPT teacher head0.359
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations45
Published2007
Admission routes1
Has abstractyes

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