“Fliehen. Flüchten. Davon. Eilen. Stürmen”: Stumbling towards the Future in Marlene Streeruwitz’s <i>Die Schmerzmacherin</i>.
Bibliographic record
Abstract
The crises of recent years have engendered increasingly bleak visions of the future. This development challenges us to rethink our understanding of hope and futurity, and Marlene Streeruwitz’s 2011 novel Die Schmerzmacherin. takes an important step in this direction. Amy Schreiber, the novel’s young and existentially disoriented protagonist, trains at a security agency, learning to plan and control the future. But Amy keeps tripping over her own feet; her unsteady gait keeps throwing her off course. This article argues that Streeruwitz’s novel employs stumbling as an aesthetic device to expose the conceptual pitfalls of modern notions of the future. By discussing this poetics of stumbling, the article explores the double binds of modern security politics, the tensions between security and care, the unsustainability of societal expectations of success, and the subversive potential of errancy and failure. In Die Schmerzmacherin., stumbling represents an antidote to traditional utopian visions: a sober form of hopefulness that draws on the power of discord and disruption.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".