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Empathic Resonance: A Neuroscience Perspective

2009· book-chapter· en· W2488230214 on OpenAlexaff
Jeanne C. Watson, Leslie S. Greenberg

Bibliographic record

VenueThe MIT Press eBooks · 2009
Typebook-chapter
Languageen
FieldPsychology
TopicAction Observation and Synchronization
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEmpathyPerspective (graphical)PsychologyContext (archaeology)Simulation theory of empathyMirror neuronPerspective-takingEmpathic concernCognitive scienceSocial psychologyComputer science

Abstract

fetched live from OpenAlex

Therapeutic empathy is considered an active, cyclical process characterized by three phases: empathic resonance, empathic communication, and received or perceived empathy. Therapists first try to understand how their clients feel about their experience and what it means to them. They then communicate their understanding to their clients while the latter must receive their therapists’ empathy in order to be aware of being understood. This chapter examines the concept of empathic resonance from a neuroscience perspective. It considers whether and how empathy affects client change in psychotherapy. It discusses the role of mirror neurons in mimicry, context, decentering, and empathy as well as the ways in which therapists’ empathic capacity can be enhanced. In addition, it looks at the role that visualization plays in the empathic process. Finally, the chapter assesses the factors modulating empathy.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.005
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.004
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.088
GPT teacher head0.325
Teacher spread0.237 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations51
Published2009
Admission routes1
Has abstractyes

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