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Record W4313169012 · doi:10.52567/pjsr.v4i03.778

DEVELOPING EMPATHY AS A CORE COMPETENCY AND LIFE SKILL IN CHILDREN

2022· article· en· W4313169012 on OpenAlexaboutno aff
Amna Murad, Saira Khan, Sidra Zahid

Bibliographic record

VenuePakistan Journal of Social Research · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsnot available
Fundersnot available
KeywordsEmpathyProsocial behaviorPsychologyDevelopmental psychologySocial psychologyCore competencyManagement

Abstract

fetched live from OpenAlex

Empathy has been studied in accordance to its impact on professional skills and behavior in the fields of medicine, corporations, and educational institutions. As multiple incidents of brutal violence, killing of innocent people on the streets of Pakistan, and apathetic attitudes disseminated even towards young children in schools, the need arises to address the importance and impact of empathy on everyday lives of people in society. The dire need for empathy-building exercises from the grass root level is evident. There is hope if future generations are taught to think of others as well as themselves, giving equal importance to every member of society. This article highlights the importance of empathy and traces its development in the mind of children, as an important core competency and life skill. Prosocial skills are discussed as a precursor and complementary attribute of the essential empathic skill. Future implications of this research lead to the prospect of a national program for building empathic skills for children, in schools across the country, as has been done in the United States, Canada and countries across the world (e.g., by Dan Olweus and Mary Gordon). Keywords: Empathy, Development of Empathy, Prosocial Behaviour, Bullying, Children

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 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)0.008
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.480
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.108
GPT teacher head0.480
Teacher spread0.372 · 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 teacher head, not a consensus.

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

Citations2
Published2022
Admission routes1
Has abstractyes

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