The Reality of Married Female Students in the Bachelor’s Degree at the World Islamic Science & Education University W.I.S. E/ Jordan
Bibliographic record
Abstract
The study aimed to identify the difficulties faced married female students, according to the variables: age, number of children, family income, educational level of the husband at the World Islamic Science & Education University, during the second semester of the academic year 2018/2019, the sample of the study consisted of 64 married students, a scale was built that aims to measure the difficulties faced female students as a result of enrollment the university, the scale consists of twenty paragraphs. After conducting the study and result extraction, it appears that married females are enrolled in university studies based on mature decisions, these students were able to adapt well and this was demonstrated by the medium level of difficulties they suffer, and that the most level of difficulties faced female students has to do with the overlap and the increase in household burdens and university assignments, also, most married female students who suffer from difficulties are in the age group 31-40, with no trace of difficulties based on the family’s income, the number of children, or the husband’s educational level. The study recommended providing psychological and educational counseling services for married students in the age group of 31-40 years and create community awareness about the difficulties faced by married students and provide facilities and support for them and amending university study instructions to help contain the special situation of married students.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".