MétaCan
Menu
Back to cohort
Record W1526225390 · doi:10.56645/jmde.v7i16.314

Empathy Training: Methods, Evaluation Practices, and Validity

2011· article· en· W1526225390 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

VenueJournal of MultiDisciplinary Evaluation · 2011
Typearticle
Languageen
FieldMedicine
TopicEmpathy and Medical Education
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEmpathyPsychologyFeelingNarrativeSocial workSocial psychologyApplied psychologyMedical educationMedicine

Abstract

fetched live from OpenAlex

Background: Empathy is an individual’s capacity to understand the behavior of others, to experience their feelings, and to express that understanding to them. Empathic ability is an asset professionally for individuals, such as teachers, physicians and social workers, who work with people. Being empathetic is also critical to our being able to live with others in general, and ultimately to leading happier lives. Subsequently it seems imperative to examine if and how it is possible to enhance people’s empathic ability. Purpose: The purpose of this article is to use narrative review method to analyze studies of empathy training in human service and social science disciplines over the past thirty years to address the questions: “How have people been trained in empathy and what are the findings?” and “How was empathy training evaluated and how valid are these evaluation findings?” Setting: Not applicable. Intervention: Not applicable. Research Design: Not applicable. Data Collection and Analysis: Narrative review. Findings: Twenty-nine articles pertaining to empathy training evaluation research were identified based on an advanced computer search on the following databases: “Education Full Text,” “ProQuest Education Journals,” “Web of Knowledge” and “Educational Resources Information Center (ERIC). Seven types of training methods were noted in these 29 evaluations with the most popular being didactic related (42%). All but two studies (93%) reported positive findings, mainly in regard to learning (86%), or the cognitive component of empathy. These findings suggest that regardless of the training method, individuals can learn about the concept of empathy. Unfortunately, information pertaining to the effects of training on individuals’ feeling for others, and their ability and propensity to take the perspective of others and to demonstrate it in the natural environments is lacking. Consequently, very little is known about the trainability of the affective and behavioral components of empathy. Also, some of the findings were moderated by gender, age, education level, and time of measurement. Regarding evaluation research designs, most of the studies used self-reporting to collect trainees’ knowledge about empathy and most of the quantitative studies used a control group and pretesting to examine training impact. Construct validity of both empathy measurement and training is very problematic. A majority of the studies did not clearly define empathy, provide training as defined, and/or measure what is being trained; conceptualization of empathy across studies was not consistent either. In sum, data from the studies reviewed were neither complete nor valid enough to provide a clear and full understanding of the trainability of empathy. More research is apparently needed and hopefully lessons learned from our review will be considered in designing future studies.

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)0.022
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.796
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0220.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.460
GPT teacher head0.519
Teacher spread0.059 · 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