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Record W2032331747 · doi:10.1353/utq.2010.0229

Narration, Navigation, and Non-Conscious Thought: Neuroscientific and Literary Approaches to the Thinking Body

2010· article· en· W2032331747 on OpenAlexvenueno aff
Melba Cuddy‐Keane

Bibliographic record

VenueUniversity of Toronto Quarterly · 2010
Typearticle
Languageen
FieldPsychology
TopicAction Observation and Synchronization
Canadian institutionsnot available
Fundersnot available
KeywordsEmbodied cognitionNarrativeCognitionCognitive scienceSchema (genetic algorithms)PsychologyTerminologyImage schemaConsciousnessCognitive psychologyGestureEpistemologyNeuroscienceCognitive linguisticsComputer sciencePhilosophyLiteratureArt

Abstract

fetched live from OpenAlex

Abstract Despite difficulties in finding an adequate terminology, psychologists, cognitive scientists, and neuroscientists offer empirical evidence that the body thinks. Embodied cognition may be non-conscious rather than conscious, but it can influence conscious activity and initiate thought on its own. This paper works at the intersections of scientific research and narrative studies to probe the following questions: what is the use of cognitive functions if they are non-conscious, and how can bodily movements be detectors for such cognition at work? What processes prompt us to shift from one schematic organization to another, to change our patterns of thought? Beginning with Elizabeth Bowen's The Heat of the Day and studies of gesture's influence on learning, the paper then links neuroscientific theory, William James's theory of ‘percepts,’ and novels by Henry James. Interdisciplinary consensus suggests that the body's non-conscious strategies for spatial navigation activate similar schema for the navi...

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0020.032
Scholarly communication0.0050.005
Open science0.0010.002
Research integrity0.0010.002
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 head0.022
GPT teacher head0.224
Teacher spread0.202 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations13
Published2010
Admission routes1
Has abstractyes

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Same venueUniversity of Toronto QuarterlySame topicAction Observation and SynchronizationFrench-language works237,207