Bodily Practices as Vehicles for Dehumanization in an Institution for Mental Defectives
Bibliographic record
Abstract
This article analyzes the processes of dehumanization that occurred in the Michener Center, a total institution for the purported care and training of people deemed to be mental defectives[1] that operated in Alberta, Canada. I report on qualitative interviews with 22 survivors, three ex-workers, and the institutional archival record, drawing out the ways that dehumanization was accomplished through bodily means and the construction of embodied otherness along several axes. First, inmates’ bodies were erased or debased as unruly matter out of place that disturbed the order of rational modernity, a move that meant inmates were not seen as deserving or even requiring of normal human consideration. Spatial practices within the institution included panopticism and isolation, constructing inmates as not only docile but as unworthy of contact and interaction. Dehumanization was also seen as necessary to and facilitative of patient care; to produce inmates as subhuman permitted efficiency, but also neglect and abuse. Finally, practices of hygiene and sequestering the polluting bodies of those deemed mentally defective sustained and justified dehumanization. These practices had profound effects for inmates and also for those charged with caring for them.[1] This was the terminology used to describe people deemed to have intellectual disabilities during much of the 20th century in the West.
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.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.019 | 0.069 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".