MétaCan
Menu
Back to cohort

Right frontal cortical asymmetry predicts empathic reactions: Support for a link between withdrawal motivation and empathy

2012· article· en· W2141342107 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

VenuePsychophysiology · 2012
Typearticle
Languageen
FieldPsychology
TopicAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPsychologyEmpathySadnessElectroencephalographyEmpathic concernAffect (linguistics)Perspective (graphical)FeelingPerspective-takingDevelopmental psychologyNeuroscienceClinical psychologySocial psychologyAngerCommunication

Abstract

fetched live from OpenAlex

Depression, diminished positive affect, and exaggerated negative affect have all been linked to right frontal cortical asymmetry as measured by electroencephalography (EEG). Emerging evidence, however, suggests that right frontal EEG asymmetry might be linked to empathic responding. EEG was used to assess baseline asymmetries in frontal brain activity. Participants viewed images associated with a charity and then rated their sadness, personal distress, perspective-taking, and empathic concern towards the images. We found that baseline measures of right frontal asymmetry were a significant predictor of empathic concern, a relationship that was mediated by feelings of sadness. These results provide a more complex view of right frontal asymmetry and suggest that this pattern of brain activity might facilitate sensitivity towards the suffering of others.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.122
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.035
GPT teacher head0.338
Teacher spread0.303 · 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