Whiteness, Orientalism and Immigration: A Critique of Two Iranian Exilic Memoirs
Bibliographic record
Abstract
This paper is a critique of two Iranian exilic memoirs: Reading Lolita in Tehran: A Memoir by Azar Nafisi and Marina Nemat’s Prisoner of Tehran: A Memoir. By reading both texts as “native informant” (Spivak, 2003; Dabashi, 2006) memoirs, this paper analyzes how the authors’ performance of marginality within Iranian society and sameness with their Western readers results in their adoption of a ‘white’ Western feminist gaze at post-revolutionary Iran, which is located within an Orientalist discourse regarding differences between ‘East’ and West’. Nafisi and Nemat contribute to the racialization of Muslims and they racialize a ‘white’ identity that is primarily expressed through the unveiled body and strong support for Western values and democracy. I argue that their representations of Iran are part of a discourse of racialized whiteness that is a feature and governing principle of Western immigration and its attempt to control and ‘liberate’ the Muslim migrant subject.
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 | 0.006 | 0.006 |
| 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 | 0.036 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".