Muslim Women’s Memoirs: Disclosing Violence or Reproducing Islamophobia?
Bibliographic record
Abstract
As an upshot of 9/11, the literary market in the West saw a proliferation in writings by and about Muslim women. Many of these works are memoirs which focus on Islam, a patriarchal society, and the state’s oppression on women. These Muslim women memoirists take the western readers into a journey of unseen and unheard events of their private lives which is apparently of great interest for the westerners. Some of these memoirs, which reveal the atrocities and hardships of living in a Muslim society under oppressive Islamic regimes, are fraught with stereotypes and generalizations. Utilizing Gillian Whitlock’s theory of ‘soft weapons’ and studying the concept of Islam in Marjane Satrapi’s Persepolis: The Story of a Childhood (2003), we argue that some of these Muslim life narratives are manipulated to meet political demands of the West through creating Islamophobia.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.025 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".