‘Eye-opening’: Case study of a documentary film series in a carceral setting
Bibliographic record
Abstract
Adult education has a long tradition of engagement in social justice, but prisoners do not seem to garner much attention. This paper presents the findings of a case study of nine incarcerated women who attended a weekly screening of a documentary followed by a discussion for four weeks and individual interviews with all participants. Preliminary data analysis shows four main findings. First, participants appreciated non-formal learning and took pride in participating in discussions that were respectful of differences. Secondly, they expressed curiosity for new information and other perspectives. Thirdly, participants were inspired by stories of ordinary people facing adversity with perseverance and creativity. Finally, the carceral setting shaped their learning experience; although the films provided a break from the monotony of being imprisoned, the activity was nonetheless situated within the context of participants’ correctional plans. As the numbers of incarcerated women in Canada continue to rise, these findings suggest that adult education has a role to play and that activities like this documentary series can offer stimulation and reflection to people who are incarcerated.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".