Bibliographic record
Abstract
The veil is an obstacle to Muslim women and their freedom, becoming an area of debate in regards to “the woman question.” Scholars are revealing narrow assumptions of dominant logic that appears attractive to the West. The veil is either oppressive or liberating and/or a political statement. Such binaries were evident in the interviews: the five veiled participants were discriminated against (within their community and outside) as fundamentalist, homebound, submissive, and retrogressive. The five unveiled participants were discriminated against (within their communities) as unreligious, immoral, and “Westernized.” The theoretical approach is anti-racist, anti-imperialist, and feminist. Scholars like Talpade Mohanty, Deniz Kandiyoti, Reina Lewis, Edward Said, Lila Abu-Lughod, Fatema Mernissi, Leila Ahmed, Irshad Manji, and Meyda Yegenoglu are incorporated. Critical theory (postcolonial and feminist), textual analysis, and qualitative research are used. Artwork, poetry, film, and literature are also explored. And, there is a focus on life histories and case studies.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".