Valences of the Human: Grief and Queer Utopia in Olga Grjasnowa’s <i>Der Russe ist einer, der Birken liebt</i> and Olivia Wenzel’s <i>1000 Serpentinen Angst</i>
Bibliographic record
Abstract
This article argues that the contemporary novels Der Russe ist einer, der Birken liebt by Olga Grjasnowa (2012) and 1000 Serpentinen Angst by Olivia Wenzel (2020) critically interrogate the normative constitution of the human from the intersection of gender, sexuality, race, and ethnicity. Through their employment of two key motifs, namely sexuality and grief, the texts render visible forms of dehumanization and their material effects on certain bodies in accordance with what Judith Butler calls a “modulation of grievability.” Both texts also perform a queer utopia by constituting non-violent modes of being-in-the-world through an aesthetic practice that I describe as ästhetisches Eigenwissen.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.046 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".