The Trends of Al-Balqa' Applied University Students towards Jordanian Woman's Political Participation in Parliamentary Elections
Bibliographic record
Abstract
This study aimed at investigating Al Balqa' Applied University Students attitude towards Jordanian woman's political participation in parliamentary elections. Researchers used a questionnaire in order to obtain needed data for the study. The sample of the study consisted of (1327) male and female students (589 male) and (738 female) students. The study posed the following questions: 1) What are the attitudes of Al-Balqa Applied University students towards woman’s participation in politics in Jordan? 2) Are there any statistically significant differences due to gender, college education level, and residency variables? In order to achieve the study's objectives, researchers used various statistical analyses, such as averages account, triple t - test, and Shiva posteriori comparisons. The study reached the following results: 1) Students attitude towards woman’s political participation in all questionnaire items were medium with means of (3.68). 2) The paragraph that read "woman better able to understand the status of woman" comes in the first place with means of (4.35), and the paragraph that reads "woman’s participation in parliamentary elections increases herself confidence" came in second place with means of (4.17), and The paragraph that reads I support the election of a woman who has high education and culture came in third place with means of (4.14), while the paragraph that reads "woman is well qualified physically and intellectually for political participation" came in the last place, with means of (3.06). There is statistically significant differences due to gender variable in favor of female student. There is no statistically significant difference due to residency; there are statistically significant differences due to study level in favor of fourth year students. There are no statistically significant differences due to college type. Recommendations are expressed.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".