Hybrid styles, interstitial spaces, and the digital advocacy of the Salafi feminist
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 article examines the online advocacy work of Zainab bint Younus, a Canadian Muslim blogger who identifies herself online as the Salafi Feminist. In 2015, bint Younus curated a series of self-portraits from women who wear the niqab, the Islamic face veil. These photos show the women engaging with Western consumerism and popular culture, but they also employ the blended visual styles and the hybridity of digital spaces to deconstruct dominant binaries of Muslim women. While niqabis discuss being treated as sub-human in public spaces because of their covered faces, the digital media provide a creative space to speak back and demonstrate their agency. However, these digital projects go beyond simply creating a space of expression, as these Muslim women engage with tactics of hybridity, mimicry, and disidentification to work within Western cultural spaces, such as selfies, social media posts, and consumer sites, to destabilize Western feminist notions of the liberal, agentive subject. These photos subvert the assumption that self-portraits must show the face, as the women cover their faces with the niqab but illustrate their personalities through other means.
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 | 0.001 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.007 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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