The Feasibility of Job Sharing as a Mechanism to Balance Work and Life of Female Entrepreneurs
Bibliographic record
Abstract
Balancing life and work is the most important challenge of entrepreneurs. Entrepreneurs seek a logical balance between their job and life and this issue is of great importance to Iranian entrepreneur women. Inability to handle the contrast between work and family is the main source of job stress and ends in job and personal dissatisfaction. To overcome these problems we have to look for solutions that not only meet the organization needs but also imposes less stress on entrepreneurs and thus results in improving their productivity.In this article we have studied female entrepreneurs situation and their share in labor market, as well as flexible methods of doing jobs especially job sharing method. We have done structured interviews with entrepreneurs of Azad University and their attitude to possibility of job sharing and its effect on female entrepreneurs at university has been expressed. After performing the qualitative methods, questionnaires were made and the attitude of female entrepreneurs towards job sharing was examined. The results of quantitative research show that they have a positive attitude towards job sharing but we have to notice that job sharing doesn’t lead in weakening the bargaining ability of female entrepreneurs.
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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 | 0.002 | 0.005 |
| 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 | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".