“Committed from Head to Toe?”: Cancer, Immigration, and Kinship in Verena Stefan’s <em>Fremdschläfer</em>
Bibliographic record
Abstract
Reading Verena Stefan’s Fremdschlafer (Alien Sleepers) against the backdrop of her landmark text Shedding ( Hautungen ) reveals a significant shift in the author’s treatment of the female body. While her earlier work euphemistically stages the notion of peeling skin as a moment of self-realization, shedding skin and hair now points to the effects two substantial forms of feeling foreign or estranged have on the body: immigration and cancer. This article analyzes the ways in which immigration, breast cancer, and kinship are linked. It highlights specifically the parallel structure of the lesbian protagonist’s immigration in Canada, her “immigration”— in her words—into the “country of cancer patients” and the “immigration” of the tumor into her body. At the same time, it argues that despite the observed differences between Shedding and Fremdschlafer , Stefan still emphasizes kinship models based on female solidarity and abides by her political and aesthetic program of radical subjectivity.
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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 | 0.012 | 0.021 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| 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".