“COMMENT PEUT-ON ÊTRE PERSAN ?”: PERSANITÉ IN CONTEMPORARY FRANCOPHONE AUTOFICTION
Bibliographic record
Abstract
My research is centered on the exploration of intertextuality in Francophone literatures and cultures spanning centuries—from Canada to Iran—viewed through the prism of migration and Diaspora Studies, Postcolonial Studies, Trauma Studies, Gender Studies, and Nationalism. My doctoral dissertation, titled “‘Comment peut-on être persan?’ : Persanité in Contemporary Francophone Autofiction,” explores the intertextual echoes of Baron de Montesquieu found in the works of two Franco-Iranian authors and one Quebecois author. Within my dissertation, I have examined three contemporary autofictions: Chahdortt Djavann’s Comment peut-on être français? (2007), Lise Gauvin’s Lettres d’une autre (1984), and Maryam Madjidi’s Marx et la poupée (2017). These works are scrutinized at the confluence of literature, history, Gender Studies, and political science, where the act of writing transforms into a powerful medium capable of instigating change. Furthermore, by juxtaposing storytelling and history, my research endeavors to reclaim the concept of “imagined community” as posited by Benedict Anderson, championing the profound influence of literature—especially autofictions originating from minor and marginalized groups. This research advocates for the transformative power of literature emanating from the autofiction genre and its capacity to illuminate the experiences and identities of underrepresented communities.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".