Work 2 Give: Fostering Collective Citizenship through Artistic and Healing Spaces for Indigenous Inmates and Communities in British Columbia
Bibliographic record
Abstract
Therapeutic arts and crafts, as healing modalities, exist within specific historic and contemporary contexts. In this article we examine the positioning of productive and social citizenship for incarcerated Aboriginal men in federal prisons in British Columbia (BC) who participate in a prison employment and hobby program, wherein they build and create art-full objects that are subsequently donated to Aboriginal communities. This program provides insight into the ways that therapeutic arts and crafts have transformational impacts within a context where citizenship rightss are often considered conditional, and wherein incarcerated Aboriginal peoples’ lack of personal rights and freedoms is impacted by colonial forces that shape constructions of citizenship and productivity. Our aim is to contribute to the collective dialogue in this issue to shift the focus of arts programming from personal psychosocial well-being to how collective creativity within the prison context can foster social and cultural wellbeing and restoration for Aboriginal peoples in BC and beyond. We consider the transformational impacts made possible through therapeutic arts and crafts and the alternative possibilities of a more inclusive social citizenship to describe collective social identities for healing. Using Work 2 Give as an exemplar, we describe how forms of Aboriginal collective social citizenship, forged within a neocolonial era, can make space for the healing potential of therapeutic arts and craft in prison contexts. Drawing on Aboriginal understandings of health, healing, and community, Work 2 Give provides a window into how social citizenship can be considered through its interconnectivity with spirituality, giving to others, meaningful work, therapeutic art and holistic wellbeing within the wider context of colonialism and resurgence.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.026 | 0.006 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".