Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This research aims to track the record of the “Convention on the Elimination of All Forms of Discrimination against Women (CEDAW)” since its entry into force in 1981, to review its texts and the cases brought to it, to know how it considered and dealt with intersectional discrimination against women. This paper evaluates if CEDAW has succeeded or failed to protect women from ‘intersectionality’. However, this discrimination describes compound discrimination against women based on sex, gender, identity, religion, belief, race, ethnicity, color, culture, socioeconomic status, age, class, and/ or origin... etc. The importance of this research is since despite a lot of cases of compound discrimination practiced against women around the world, the text of the Convention has not changed, and its committee, which is composed of experts in this field, did not adopt any ideas about the nature of discrimination. To determine the role of intersectionality, the research first focused on the theory of intersectionality in terms of concept and practice. Secondly, it showed how it affects women’s lives with examples from India, Brazil, Canada, Hungary, and others. Finally, it traced the concept of intersectionality, and how the Convention or its committee dealt with it through its general recommendations. The research found that CEDAW has overlooked the concept of intersectionality in its texts, while its committee addressed it in one of its recommendations in 2010 – noting that such recommendations are limited in scope and efficacy – which adversely impacted women’s rights globally. Therefore, the research recommends that the concept of intersectionality should be fully integrated into the text of the Convention, which will be reflected on the state parties by taking special measures that concretely give advantage to women who have been subjected to a history of discrimination.
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.
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 | 0.002 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 it