Work Life Imbalance and Psychosocial Tribulations among Working Women
Bibliographic record
Abstract
With the changing scenario, there is vast increase in the number of working women.Women are competent enough to contribute for the betterment of any of the organisation. They are sharp, intelligent, empathetic, flexible and with energy to work hard for the both fronts i. e. office as well the home. They are with dual responsibility to manage multiple tasks at home and at the work. The increasing expectations at both ends make the situation difficult for women , as a result they face difficulty in maintaining a required balance between work and life. This lack of balance results in further problems for working women. Because of work overload, career aspirations, competition, peer pressure at workplace and child care, elder care, relationship maintenance, other household responsibilities at home, it becomes very difficult for females to contribute to the maximum at both ends. And because of this imbalance, females remain with some guilt and stress, as a result came across with many psychosocial tribulations, that may affect their performance as well as health also. This paper examined the concept of work life balance and how women juggle for multiple tasks and as a result face work life imbalance. And paper also revealed that working women with dual roles suffer from psychosocial problems and different strategies have also been discussed which can be of help to working women in maintaining a balance between work and life.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".