Micropolitics of race and ethnicity in women's prisons in two political contexts
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
Research over the past two decades has focused on the topic of race as important for understanding order and compliance in men's prisons. However, relatively little research considers how subjective understandings of imprisonment are influenced by race, particularly in the case of women prisoners. The current study analyses 139 interviews conducted with women prisoners in California and England in order to determine how race and ethnicity shape prisoners' experiences and abilities to cope with institutional confinement. Findings suggest that women's understandings of their racial identities differ substantially in these two contexts. In California, where the conditions of confinement are more extreme and white women assume a minority status, racial identity emerges as a salient factor in coping with the adversities of prison life. By contrast, in England, it is the women of colour, and particularly foreign nationals, who have a greater appreciation of the role of race and ethnicity in their daily lives. These findings have implications for our understanding of how prisoners draw on their lived experiences to make sense of their carceral worlds.
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 | 0.001 |
| 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 | 0.001 |
| 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 it