Estranging the Familiar: "East" and "West" in Satrapi's Persepolis
Bibliographic record
Abstract
[para. 1]: "Persepolis: The Story of A Childhood (2003) is Marjane Satrapi's highly acclaimed coming-of-age story set in revolutionary Iran. It is part of a new wave of autobiographical writing by diasporic Iranian women, which includes such authors as Tara Bahrampour (To See and See Again: A Life in Iran and America, 2000), Gelareh Assayesh (Saffron Sky: A Life Between Iran and America, 2002), Firoozeh Dumas (Funny in Farsi: A Memoir of Growing Up Iranian in America, 2003), Azar Nafisi (Reading Lolita in Tehran: A Memoir in Books, 2003), Roya Hakakian (Journey from the Land of No: A Girlhood Caught in Revolutionary Iran, 2004), and Azadeh Moaveni (Lipstick Jihad: A Memoir of Growing Up Iranian in America and American in Iran, 2005), not to mention Satrapi's own sequel Persepolis 2: The Story of a Return (2004), and Embroideries (2005). These women are using the autobiographical form, one virtually unheard of for Iranian women authors until recently, to help them come to terms with the 1979 Iranian Revolution and their new lives in the diaspora. As a means of mapping out the complexities and contingencies of identity, autobiography has been accorded a privileged status in postcolonial and diasporic contexts, and these texts can be viewed as part of this recent trend. However, the use of the autobiographical genre has traditionally been discouraged in Iran, particularly for women. As Farzaneh Milani and Afsaneh Najmabadi have observed, autobiographical stories have been perceived as a form of metaphorical unveiling as indecorous as physical unveiling."
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.012 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| 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".