The power of popular education and visual arts for trauma survivors’ critical consciousness and collective action
Bibliographic record
Abstract
How can visual arts and popular education pedagogy contribute to collective recovery from and reconstruction after trauma? This question framed the design and delivery of the Trauma Recovery and Reconstruction Group (TRRG), which consisted of 12 group sessions delivered to clients (trauma survivors) of the Centre for Concurrent Disorders (CCD) in Vancouver, Canada. Data were generated through individual and group interviews, observations (field notes) and creation of visual images. The use of popular education and visual art methods proved to be a powerful approach to deepening understanding and taking action. Participants learned how the delivery of mental health services, as well as acting as systems of exclusion organized around gender, race and class, were implicated in their (re)traumatization. Through the popular education process, participants also identified actions that could enhance their collective recovery and reconstruction. Implications arising from the study include the need for ongoing contextually oriented assessment to accurately determine states of health and stress, and the value of collective popular education and visual arts methods for clinically based trauma related psycho-education.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.018 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".