Biopolitical Spaces, Vanished Death, & the Power of Vulnerablility in Nursing
Bibliographic record
Abstract
Using the example of how nurses killed 'mentally ill' patients during Nazi-fascism in Germany, this article employs various aspects of Giorgio Agamben’s work, including his work on the production of 'bare life'. According to Agamben's approach, and based on a Foucauldian conception of discourses, nurses during this period were governed by scientific discourses which transformed the patients that they killed into what Agamben called 'bare lives'. That is, nurses did not perceive the lives they terminated as human lives. By utilizing a perspective of 'vulnerability', it is possible to question the normative frames that govern nurses' perceptions of their patients. The outcome of this paper is a critical analysis of contemporary nursing ethics based on the work of Murray & Holmes and Judith Butler.
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.154 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.005 | 0.012 |
| Insufficient payload (model declined to judge) | 0.004 | 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".