Bibliographic record
Abstract
This research paper aims to analyze the perspectives of a selection of Jordanian women between the ages of 20 and 50 on social justice and explore if ingrained gender discrimination prevents women from attaining equality in Jordan. It tries to pinpoint the factors that hinder or motivate women to pursue social justice in Jordan while identifying their views on the existing opportunities and barriers to achieving social justice. Results reveal that the profoundly ingrained dynamics of the Jordanian social structure—culture, socialization, and gender discrimination—play an integral part in preventing women from attaining social justice in Jordan. Moreover, the results show that collaboration between women and their political representatives in society is a must for fostering social justice in Jordan; it is not enough to rely only on providing a good education for women. Ce document de recherche vise à analyser les perspectives d'une sélection de femmes jordaniennes âgées de 20 à 50 ans sur la justice sociale et à explorer si la discrimination sexuelle enracinée empêche les femmes d'atteindre l'égalité en Jordanie. Il tente de mettre en évidence les facteurs qui empêchent ou motivent les femmes à poursuivre la justice sociale en Jordanie tout en identifiant leurs points de vue sur les opportunités et les barrières existantes pour atteindre la justice sociale. Les résultats révèlent que les dynamiques profondément ancrées dans la structure sociale jordanienne - la culture, la socialisation et la discrimination sexuelle - jouent un rôle essentiel pour empêcher les femmes d'atteindre la justice sociale en Jordanie. En outre, les résultats montrent que la collaboration entre les femmes et leurs représentants politiques dans la société est indispensable pour promouvoir la justice sociale en Jordanie ; il n'est pas suffisant de se contenter de fournir une bonne éducation aux femmes.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.004 |
| 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".