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Record W4396769505 · doi:10.30574/wjarr.2024.22.2.1397

Prosocial behavior, empathy, type A and type B personality among college students

2024· article· en· W4396769505 on OpenAlexaboutno aff
Subbiksha Ravikumar, Cynthia Sara James

Bibliographic record

VenueWorld Journal of Advanced Research and Reviews · 2024
Typearticle
Languageen
FieldPsychology
TopicEmotional Intelligence and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsProsocial behaviorEmpathyPsychologyPersonality typePersonalityType D personalityType (biology)Social psychologyDevelopmental psychologyEcologyBiology

Abstract

fetched live from OpenAlex

The study aims to investigate the relationship between Prosocial behavior, Empathy, Type A, and Type B personality and to investigate significant differences in Prosocial behavior, Empathy, Type A, and Type B personality between males and females. The sample selected for the study is young adults, age range from 18-25. A Convenient sampling method is used. Samples were collected from Bangalore and other cities in Tamilnadu. Data was collected from 242 college students both males and females. (100 males and 142 females) The mode of data collection was through online mode. In this study, the correlational research design is used. The tools used are the Prosocialness Scale for Adults (PSA) developed by Caprara et al (2005), A/B Behavioral Pattern Scale (ABBPS) developed by Upinder Dhar and Manisha Jain (1983). The Toronto Empathy Questionnaire developed by Spreng et al (2009). The data was studied using Spearman correlation and the Mann- Whitney u test. The results show that Prosocial behavior, Empathy, Type A and Type B personality have a significant relationship with each other. Prosocial behavior and Empathy have significant differences in males and females. The conclusion is that individuals with Type B personality had higher Empathy than individuals with Type A personality.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.592
Threshold uncertainty score0.553

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.170
GPT teacher head0.519
Teacher spread0.349 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations0
Published2024
Admission routes1
Has abstractyes

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