Accelerated Aging, Debilitation, Slow Death, and the Multiple Temporalities of Aging Incarcerated Persons: A Philip K. Dickian Science Fiction Examination
Bibliographic record
Abstract
Prisons are debilitating and disorienting spaces. Temporal realities themselves are altered from those of the outside world. This paper builds upon a study of prison staff work with aging incarcerated persons in Canadian federal penitentiaries, wherein the prison environment itself contributes to accelerated aging and slow death. Simultaneously, temporal experiences in prison both slow and become cyclic, rhythmic. These multiple temporalities flow independent of the "outside" world, which, from the perspective of incarcerated persons, accelerates. To reconcile these multiple, conflicting simultaneous temporalities, we turn to science fiction, specifically the works of Philip K. Dick, to build a conceptual world where such paradoxical temporalities coexist. A bricolage approach is adopted to interrogate these temporalities, and their effects on incarcerated persons, including debilitation and institutionalization, and the production of persons often incapable of transitioning back to the "real" world outside of prison. Proposals for both nursing practice and future research possibilities are provided.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.021 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".