Bearing Witness: Gender, Fundamentalism, and the Construction of History in Margaret Atwood’s Handmaid’s Tale and Azar Nafisi’s Reading Lolita in Tehran
Bibliographic record
Abstract
Objectives: This paper examines the feminist testimonial depiction of patriarchy and fundamentalism in The Handmaid's Tale (1985) by the Canadian writer Margaret Atwood and Reading Lolita in Tehran (2004) by the Iranian writer Azar Nafisi. Methods:. This paper incorporates diverse ideas about dystopian literature, testimony, and feminist criticism by situating the individual in communion with a collective experience marked by marginalization, oppression, or resistance. Results: Each book possesses its own narrative conventions of space, time, and character. While The Handmaid's Tale is a feminist dystopia which imagines a future United States governed by a totalitarian theocracy, Reading Lolita in Tehran is a realistic account of a university professor about her life during the fundamentalist revolution in The Republic of Iran. Conclusions: What these apparently two disparate texts have in common is that they attack patriarchy in all its forms, giving testimonial voice to the otherwise voiceless, with hope of promoting political change in contemporary societies.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.015 | 0.034 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".