Psychological Burnout of Women Working and Housewives at the Menopausal Stage in Amman City / Jordan
Bibliographic record
Abstract
This study aimed to identify the levels of psychological burnout in a sample of working women and housewives at menopausal Stage. To achieve the objectives of the study, a scale of psychological burnout was built, which consists of 20 paragraphs, the study sample was obtained in cooperation with Raihanat Al-osrah Association in Amman, through the announcement of the study, a sample of 50 working women and 50 housewives was selected and applied. the psychological scale, the members of the study sample within the age range of 45-55, The results of statistical analysis “ T -Test” showed that there were statistically significant differences in the psychological burnout of housewives was higher than working women, which indicates the positive effect of work in the lives of women, and the risk factors of psychological burnout is related to the physical dimension, and this corresponds to the nature of the menopause stage which is the age of the sample study. The study recommended to provide psychological counseling services for women in general, provide health and psychological care services for women in menopause, and the threat of community programs aimed to supporting and empowering Housewives.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".