[In]Subordination: Inmate Photography and Narrative Elicitation in a Youth Incarceration Facility
Bibliographic record
Abstract
There is a growing urgency and social responsibility regarding the lives and experiences of incarcerated juveniles; the author utilizes a visual ethnographic methodology using participant photography in a prison facility in Louisiana to simultaneously invert the surveillance structure and add “layers of significance” (Pink, 2007) to the narrative process. The results, from the photographs and interviews with six incarcerated juvenile participants, highlight the degree to which a confining subordination dictates the lives of these kids while incarcerated as well as how the systemic, institutionalized oppression influences their understanding of their role as incarcerated juvenile while serving their sentence. The photographic images evoke responses regarding the rare physicality of encounters with security staff, the confining impact of their cells, the conception of juvenile jail and adult jail, and the facility’s surveillance apparatus.
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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 | 0.009 | 0.084 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| 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".