Moving at the Speed of Trust: A Strengths-Based Analysis of a Participatory Storytelling Project with and for Criminalized Peoples
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In this paper we describe the considerations, processes and resulting insights of a trauma-informed Participatory Action Research (PAR) storytelling workshop which aimed to support healing and dignity through strengths-based writing and storytelling with and for people who have been incarcerated in British Columbia (BC), Canada. Activist scholars walked alongside Facilitators and participating Storytellers as a mechanism to offer supports and welcome feedback for continual improvement. This paper describes processes and shares insights from Facilitators and Storytellers on the processes’ impacts on individual and collective healing and wellbeing, including concrete ways to create time for relational processes, the risks and potential harms of storytelling about personal trauma and experiences of injustices, and the impacts of COVID-19. Implications for PAR scholars, community organizers and storytelling programmers are shared.
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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 | 0.012 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it