Failures of Domesticity in Contemporary Russian-American Literature: Vapnyar, Krasikov, Ulinich, and Reyn
Bibliographic record
Abstract
Hybrid literature has flourished in the Russian diaspora in the last decade and much of it is semi-autobiographical, concerned with the reconfiguration of identity in emigration. It dwells productively on the translation of the self and (more broadly) on the relationship between center and margin in the post-Soviet, transnational world. Gender roles are subject to contestation, as writers interrogate and reconsider expectations inherited from traditional Russian culture. This article situates Russian hybrid literature vis-à-vis Western feminism, taking into account Russian women’s particular experience of feminism. Four female writers of contemporary Russian-American literature – Lara Vapnyar, Sana Krasikov, Anya Ulinich, and Irina Reyn – inscribe failures of domesticity into their prose. Their female characters who cannot or do not cook or clean problematize woman’s role as nurturer. Home (geographic or imaginary) carries a semantic load of limitation and restriction, so failure as a homemaker may be paradoxically liberating. For female characters working in the West to support their families in Russia, domesticity is sometimes even more darkly cast as servitude. Rejection of traditional Russian definitions of women’s gender roles may signal successful renogotiation of identity in the diaspora. Although these writers may express nostalgia for the Russian culture of their early childhood, their critique of the tyranny of home is a powerful narrative gesture. Failures of domesticity represent successful steps in the redefinition of the self and they support these writers’ claim to transnational status.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.011 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".