This is how it Feels: Activating Lived Experience in the Penal Voluntary Sector
Bibliographic record
Abstract
Abstract Increasing calls for ‘nothing about us without us’ envision marginalized people as valuable and necessary contributors to policies and practices affecting them. In this paper, we examine what this type of inclusion feels like for criminalized people who share their lived experiences in penal voluntary sector organizations. Focus groups conducted in England and Scotland illustrated how this work was experienced as both safe, inclusionary and rewarding and exclusionary, shame-provoking and precarious. We highlight how these tensions of ‘user involvement’ impact criminalized individuals and compound wider inequalities within this sector. The individual, emotional and structural implications of activating lived experience, therefore, require careful consideration. We consider how the penal voluntary sector might more meaningfully and supportively engage criminalized individuals in service design and delivery. These considerations are significant for broader criminal justice and social service provision seeking to meaningfully involve those with lived experience.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".