Data, Love, and Bodies: The Value of Privacy in Juli Zeh’s <i>Corpus Delicti</i>
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This essay explores the transformation processes depicted in Juli Zeh’s fictional narrative Corpus Delicti, which call attention to the ethical challenges of new forms of surveillance. Initially blinded by the ideology of the surveillance state of the Methode, the protagonist Mia Holl transforms from a supporter of the healthcare dictatorship into a member of the resistance. By focusing on the surveillance mechanisms of the Methode, Zeh’s fictional narrative opens up a discourse on the value of privacy in the information age. Read together with Roberto Simanowski’s Data Love, Zeh’s work allows for a re-evaluation of the sharing of personal data when it promises societal benefits. Mia Holl’s rediscovery of human nature as a love for oneself eventually has the power to challenge the legitimacy of the surveillance state. Through the unravelling of the Methode’s imposed “data love” as a mechanism of total control, Mia Holl is able to mentally liberate herself from the Methode’s ideology and spark a widespread protest against the state.
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.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it