Statistical Analysis of Perceptions of Jordanian Women's Access to Parliament from the Perspective of Female Members of Jordanian Political Parties
Bibliographic record
Abstract
This study seeks to shed light on a widely discussed contemporary social issue in Jordan, which has presented itself repeatedly in each round of elections to the Jordanian Parliament in the period 1989-2020. Although the Jordanian women's right to participate in the fabric of political life of the state is well-established and enshrined in legislation and government backing, support for their election to Parliament among the public remains consistently low. This study is an attempt to explain the persistent paradox between a low rate of female candidate access to Parliament beyond their legally assigned quota and their levels of achievement in all spheres of progress, democratization and development in Jordan. In doing so, the authors investigate their chosen research topic through a detailed statistical prism and analysis of questionnaires distributed among 270 female respondents affiliated with political parties. Such analysis revolves around two core problematic parameters: modernizing the political system in Jordan and the role of social support.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 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".