“It’s for their own good”: Techniques of neutralization and security guard violence against psychiatric patients
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
Based on eight in-depth interviews conducted with security guards who work in the psychiatric units of two hospitals located in Ottawa, Canada, this research found that private security agents unknowingly draw on Sykes and Matza’s five techniques of neutralization to justify their use of violence and coercive force against patients and to overcome their feelings of guilt for participating in the administration of brutal intervention practices, including physical and chemical restraints. Guards claimed that these practices benefit the patients more than it hurts them and in cases where they believed the interventions to be unwarranted, guards either accepted the medical staff’s judgment to make decisions about when coercive force should be used or condemned the authority the nursing staff has in determining how to manage patients. They also drew on militant codes of security conduct to justify their tough demeanours and resilient attitudes towards medicalized violence. Implications for forensic practice include considerations of the effects of the (gendered) power relations that structure closed institutional settings and can harm already vulnerable patients, as well as the negative consequences of using security to enforce arbitrary institutional rules.
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 | 0.000 |
| 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