Investigating the Employed Married Women's Awareness Level of Marriage Rights: Case Study -- Neiriz, Iran
Bibliographic record
Abstract
This survey is aimed to investigate the employed married women's degree of awareness of the marriage rights. Sample includes 100 employed married women of Neiriz city who were selected through randomized sampling. The Morgan's and Krejcie’s table was used in order to calculate the sample size. From the results, it becomes clear that there is a meaningful relationship between the degree of awareness of the marriage rights. It has also shown that there is a significant relationship between age and awareness of the marriage right; it shows a positive relation between income awareness of the marriage right. It has also shown that there is no relationship between marriage age and the women's awareness of marriage rights. Finlay result shows a significant relation between use of mass media and awareness of the marriage right. Moreover, in order to increase the level of women's awareness of their rights, the role of mass media should be made clear in the societies. The findings highlight the need for screening and identification of other factors and variables in the family and society in which women are growing.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".