Perceived stress and Self Esteem among school going adolescents : A Gender Perspective
Bibliographic record
Abstract
Background: Adolescence is a traditional period and it is the bridge between childhood and adulthood. It is the time of rapid development of growing to sexual maturity, discovering one’s real self, defining personal value and finding one’s vocational and social direction. Healthy self-esteem is the experience of being competent to cope with the basic challenges of life, stress and being worthy of happiness. Stress is the major source of many problems among adolescents and it may lead to low self-esteem. Many psychological problems such as depression and suicide occur as a result of low self-esteem and confidence. Objectives: To assess and compare gender differences among school going adolescents in terms of perceived stress and self-esteem. Sample: 200 school going adolescents (100 male respondents & 100 female respondents) have been included randomly in the study. Design: Data collected was analysed using Statistical Package for Social Sciences (SPSS-20 version) Tool:Semi-Structured Socio Demographic datasheet was used to collect the relevant socio demographic information followed by Perceived Stress Scale and Rosenberg Self Esteem Scale. Result: Data Collected was analysed using statistical Package for Social Sciences (SPSS-20 version) The study findings highlights significant gender differences among school going adolescents in terms of perceived stress and self- esteem. Conclusion: The findings of the study reported that female school going adolescents perceive more stress and less self-esteem as compared to their male counterparts Keywords: Perceived stress, Self Esteem, adolescents, Gender Perspective
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".