Demographic Characteristics of the Female Emirati Workforce in Dubai, United Arab Emirates
Bibliographic record
Abstract
Women are seen traditionally in the United Arab Emirates (UAE) as fundamental for safeguarding the family and social structure of the country as well as preserving the cultural and religious heritage of the nation. This role, however, has changed in the aftermath of the rapid development occasioned by the discovery of oil and establishment of the country in 1971. Women are now at the forefront of several socioeconomic endeavours in various sectors of the country, thereby contributing to national development. The study aims to survey the characteristics of the Emirati female workforce in Dubai and compare it with corresponding national statistics. The aim is to assist policy makers with identifying priority areas for improvement as well as unearthing the challenges faced by working women in the country. Qualitative surveys were conducted based on a structured questionnaire distributed to 257 working women in Dubai City. Results obtained indicate that the majority of women working in Dubai are young and married. Additionally, the bulk of the respondents possess a bachelor’s degree and higher degrees, thereby earning a decent monthly income. The childcare and transportation options employed by working women revealed the prevailing cultural norms, with the majority utilizing the help of family members and personal/family vehicles, resp. All these findings are in tune with nationwide standards; however, the majority of the respondents in the current study are employed in the governmental sector earn much higher salaries. The overall findings of the study would be useful for policy makers to formulate strategies for enhancing the female workforce in Dubai and the UAE at large. It is also useful for private and public organizations for addressing the challenges faced by the female workforce in the country thereby providing a better work-life balance for their employees.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.013 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".