Literacy learning and changing social practices in a community art project for women with experience of the criminal justice system
Bibliographic record
Abstract
This article seeks to understand what a group of women with experience of the criminal justice system learned through taking part in a community art project, particularly in terms of their literacy. It draws on an ethnographic study of a community art project carried out by the Collectif Art Entr’Elles which took place in a halfway house in Montreal (Canada) where prisoners can apply to complete their sentence and prepare for their social reintegration. Using a non-linear narrative structure, the collaborative sound work produced sought to break down prejudices by making these women’s voices heard in public space. Drawing on Lave’s (2019) theory of social practice, we explore in more detail the experience and learning journey of one of the women involved. Our analysis indicates that non-formal education, especially when it takes the form of community arts projects, can play a positive role in the diversification and enhancement of literacy practices that are key to the social reintegration and wellbeing of women with experience of the criminal justice system. As such, non-formal community arts education can be an important vehicle for social justice.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.014 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".