DEVELOPING EMPATHY AS A CORE COMPETENCY AND LIFE SKILL IN CHILDREN
Bibliographic record
Abstract
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
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".