Bibliographic record
Abstract
Managing the causes of job burnout has become a momentous phenomenon in career management literature. Majority of the apparel firms in Sri Lanka are experiencing job burnout as a massive dispute where it represents many work-related and non-work related issues that employees endure. In this context, the present study was conducted with the aim of investigating the impact of social support on job burnout among the female worker level employees of a leading apparel firm in Sri Lanka. The study is mainly considering the primary data. Present study is using survey method to analyze the objectives. The data were collected through a self-administrated questionnaire from 142 respondents of the selected apparel firm. The correlation analysis of the study revealed that the social support has a strong negative relationship with job burnout while regression analysis identified that social support is significantly contributing to determine job burnout (51.1%). Moreover, multiple regression analysis indicated that family support has the highest impact on job burnout among the worker level employees. The findings of the study have various managerial implications for other apparel manufacturing firms and other industries in Sri Lankan social context.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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; both teacher heads agree on what is shown here.
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".