SS55-03 WORK-FAMILY CONFLICT: CASE OF FEMALE DOCTORS AT THE UNIVERSITY HOSPITAL CENTER (CHU) IBN ROCHD IN CASABLANCA, MOROCCO
Bibliographic record
Abstract
Abstract Introduction This growing presence of women in the workforce has brought work-family balance challenges, further intensified by the COVID-19 pandemic. This study investigates the pandemic's impact on work-family balance for female doctors in Morocco, with a focus on Casablanca's University Hospital Center (CHU) Ibn Rochd. Materials and Methods This qualitative research used a written questionnaire among female doctors at CHU Ibn Rochd. Results Most respondents (77.8%) were aged 26-35, with 62.9% being resident doctors. A significant portion (77.6%) worked in medical services. Regarding marital status, 57.8% were single, and 38.2% shared domestic responsibilities. A total of 56.7% reported limited availability for family, impacting relationships, while 76.7% continued thinking about work outside the workplace. Additionally, 58.9% did not find work beneficial for mental and physical health, and 75.6% lacked flexible work hours. Discussion The study highlights the influence of work-related demands on work-family balance and enrichment. Female doctors encounter difficulties in balancing their professional and family roles, particularly affecting their roles as mothers and wives. Conclusions This study underscores the challenges faced by female doctors in achieving work-family balance in Morocco, heightened by the COVID-19 pandemic. Gender-based disparities in household responsibilities and income levels impact their ability to manage these challenges. Measures are necessary to promote gender equity and female workforce participation, especially in vital sectors like healthcare. The findings emphasize the need for policies and institutional responses to address work-family balance issues in Morocco while encouraging female participation in the labor market.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".