Organisational Role Stress among Women in the Private Sector
Bibliographic record
Abstract
Employees, who are married, are part of a family with members having at least two different careers and influence of at least two different organisations. In the context of married women employees it is increasingly difficult for them to find time to fulfil their commitment towards home, spouse, children, parents and friends. They are increasingly recognizing that work is infringing on their personal lives, and they are not happy about it. Recent studies suggest that employees want jobs that give them flexibility in their work schedules or work culture which facilitates better management of work-life conflicts. Organisations now often find women employee a part of their best performing teams, if they cannot be helped to achieve work-life balance, it will become increasingly difficult for management to attract and retain this human resource, which otherwise are capable and motivated. The present study intends to identify the major causes and remedies of work-life conflict which a working married woman face in the current scenario. It also intends to evaluate the importance of family-friendly work arrangements towards a joyful organisation. This paper attempts to investigate the intensity of organisational role stress which a married woman perceives as compared to an unmarried one. It further attempts to study the differences in the level of stress between married and unmarried women on several role stressors.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".