Fighting Hislam : an investigation into Australian and North American Muslim women fighting sexism within their own communities from a pro-faith perspective
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 investigates how Muslim women in Australia and North America fight sexism within their own communities from a pro-faith perspective. It examines the stories of the women who engaged in such work, their motivations, and their path to fighting sexism, the support and criticism they received from both Muslims and non-Muslims, and the role faith played in their work. Little previous research has been done in this field. The majority of the accounts of Muslim women portray them as passive victims of, or willing accomplices in perpetuating, sexism. That the negative attitudes towards feminism in many Muslim communities are based on histories of colonisation and secularism adds an extra layer of complexity to understanding the topic. To develop a nuanced understanding of how Australian and North American Muslim women fight sexism within their own communities from a pro-faith perspective, this study is enhanced by interviews with 23 Australian, US and Canadian female theologians, activists, writers and bloggers who shared their beliefs and experiences of struggling against patriarchy against their co-religionists. The women in this study show how they reconfigure internal tensions into knowledge production, grapple with the Double Bind, and embody a Third Way, all of which leads to them ultimately creating a new component of third wave feminism in the West. The research offers a crucial new understanding of Muslim women in minority contexts, the religious legacy they utilise, the forces that shape them, and forces they shape.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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