Bibliographic record
Abstract
Le Voile de la Peur (Veil of Fear) by Samia Shariff (2006) is the French autobiography of an abused Algerian wife who describes her forced “illegal” migration to Canada in search of asylum. Shariff’s testimony has so far been seen as the life narrative of an oppressed female fugitive fleeing Islamic “misogyny.” In this article, I offer a more complex assessment that sees Veil of Fear as a border text that unveils the paradoxes of a globalized and yet heavily policed world. My exploration of Shariff’s autobiography emphasizes the contradictions of globalization, which call for borderlessness while policing the mobility of citizens of poor countries. My transnational feminist reading of Shariff’s clandestine journey highlights the intersectional nature of the oppressive forces that torment Algerian women and the wrongness of reducing the problems of Muslim female asylum seekers to patriarchy. My investigation of the difficulties which Shariff faced in migrating to Canada generates a reading of the unauthorized crossing as a bodily act through which paperless women challenge local gendered and global spatial hierarchies.
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 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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.057 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 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".