Relationship Between Empathy and Prosocial Behavior
Bibliographic record
Abstract
This study focused on the relationship between empathy and prosocial behavior among individuals aged between 18 to 30 years old . The sample consisted of 90 individuals, including both students and working professionals. The study used the Toronto Empathy Questionnaire (TEQ) to assess empathy and the Prosocialness Scale for Adults (PSA) was used to measure behavior with the aim of establishing if there exists a notable correlation, between these distinct factors. The study found a significant positive correlation (r = 0.847, p<.001) between empathy and prosocial behavior, suggesting that individuals with higher empathy are more likely to engage in prosocial acts. These results offer supporting evidence for establishing theories like the Empathy-Altruism Hypothesis and the Emotional Contagion Theory, which propose that empathy plays a crucial role in motivating altruistic behavior. According to the study, developing empathy in young people may improve prosocial behavior, resulting in more compassionate and socially responsible communities.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".