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Record W2072146100 · doi:10.1017/s0269889712000129

The Social Brain and the Myth of Empathy

2012· article· en· W2072146100 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueScience in Context · 2012
Typearticle
Languageen
FieldPsychology
TopicAction Observation and Synchronization
Canadian institutionsMcGill University
Fundersnot available
KeywordsEmpathySocial neuroscienceConsciousnessCognitive sciencePsychologyUnconscious mindArgument (complex analysis)Cognitive neurosciencePerceptionSocial cognitionCognitionMirror neuronStimulus (psychology)Cognitive psychologyNeuroscienceSocial psychologyPsychoanalysis

Abstract

fetched live from OpenAlex

Argument Neuroscience research has created multiple versions of the human brain. The “social brain” is one version and it is the subject of this paper. Most image-based research in the field of social neuroscience is task-driven: the brain is asked to respond to a cognitive (perceptual) stimulus. The tasks are derived from theories, operational models, and back-stories now circulating in social neuroscience. The social brain comes with a distinctive back-story, an evolutionary history organized around three, interconnected themes: mind-reading, empathy, and the emergence of self-consciousness. This paper focuses on how empathy has been incorporated into the social brain and redefined via parallel research streams, employing a shared, imaging technology. The concluding section describes how these developments can be understood as signaling the emergence of a new version of human nature and the unconscious. My argument is not that empathy in the social brain is a myth, but rather that it is served by a myth consonant with the canons of science.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.803
Threshold uncertainty score0.383

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.044
GPT teacher head0.366
Teacher spread0.322 · 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