Abjection and the weaponization of bodily excretions in forensic psychiatry settings: A poststructural reflection
Bibliographic record
Abstract
Nurses working in forensic psychiatric settings face unique challenges in practice, where they take on a dual role of custody and caring. Patient resistance is widespread within these restrictive settings and can take many forms. Perhaps the most disturbing form of resistance entails a patient's weaponization of their bodily fluids, with nurses as their target. The tendency in assigning motive for this act is to relegate to the psychopathology of the patient. This paper will adopt a poststructuralist perspective to reexamine this phenomenon as an act of resistance through the lens of Kristeva's concept of abjection. Patients confined in these settings have little sense of control, and in resistance may resort to the only thing available: their bodily fluids. By weaponizing the abject, patients actively violate and permeate the physical and psychological boundaries of nurses-the very boundaries considered crucial to safe and professional forensic psychiatric nursing practice. By recognizing this phenomenon as an act of resistance to confinement and loss of control, nurses may reorient their approach to care in forensic psychiatric settings.
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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 | 0.000 | 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 | 0.000 | 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 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".