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Social Cognition Is Grounded in Physical Reality

2024· book-chapter· en· W4401777411 on OpenAlexaff
Lorenzo Cecutti, Spike W.S. Lee

Bibliographic record

VenueOxford University Press eBooks · 2024
Typebook-chapter
Languageen
FieldPsychology
TopicAction Observation and Synchronization
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsGrounded theoryCognitionSocial cognitionPsychologySocial realityCognitive scienceSociologyCognitive psychologyQualitative researchAnthropologySocial scienceNeuroscience

Abstract

fetched live from OpenAlex

Abstract Mind and body form an inseparable system. A full analysis of social cognition cannot afford to ignore bodily processes. Highlighting this theme, our chapter leverages the broad perspective of grounded cognition to shed light on social cognitive processes. We outline the intellectual background of this perspective. We review six relevant key theories: conceptual metaphors, perceptual symbol systems, situated action, facial and proprioceptive feedback, somatic marker hypothesis, and grounded procedures. We delve into illustrative findings pertaining to priming and accessibility, social perception and behavior, evaluative and cognitive processes, and mood and emotion. We extend the focus of grounded cognition from the physical body (“embodied cognition”) to the physical environment and tools (“distributed cognition”). We conclude that a fully contextualized model of social cognition requires careful delineation of the cognitive loops among mind, body, and the social and physical realities in which they operate.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.012
Scholarly communication0.0030.003
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.082
GPT teacher head0.305
Teacher spread0.223 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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