Diasporic Iranian Women Life Writing: An Analysis Using a Transnational Feminist Lens
Bibliographic record
Abstract
This thesis examines fourteen diasporic life writing in English by Iranian women who mainly reside in North America (the United States and Canada), with a particular interest in how and why they write about their lives. The women authors bring to the fore questions of home, nation, identity and belonging in narratives where the public and the political are deeply intertwined with the personal. The thesis provides an analysis of the authors’ responses to the events that impacted their lives, their use of English, and their dynamic process of identity construction, as manifested in their narratives. Recognizing the growing circulation of life writing by Iranian women in the United States, the study also investigates how these life writing deconstruct and/or reinforce Western stereotypes about Iranian women. \nI argue that the authors successfully cross borders and boundaries by adopting the life writing genre, an interdisciplinary feminist medium, in their quest to share knowledge about their experiences in their home country, Iran, as well as their lives in Diaspora. And by doing so, it is an act of transnationalization of their narratives and a call for human as well as women’s rights. I also assert that their life writing not only reflect the feminist slogan the personal is political but show as well that the political is personal in the life of these women authors who probe the region’s history and its geopolitical trajectory. \nFurthermore, the study confirms that these life writing came in waves in response to socio-political as well as historical events in Iran and the host country such as, the Islamic Revolution (1979), the 9/11 tragedy (2001), the Iraq War (2003), and the 2009 Iranian presidential elections. Moreover, the findings show that these life writing articulate what Homi Bhabha refers to as “hybrid” and “ambivalent” identities. The women authors—living in what Brah (1996) calls a “diaspora space” —carve complex, multifold identities that draw upon Iranian cultural values and practices, as well as those of the host countries. They also construct hybridized spaces—that defy strict categorization—both for themselves as well as other women in the diaspora.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.009 | 0.007 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".