Street life's creative turn: An exploration of arts-based adult education andknowledge mobilization with homeless/street-involved women in Victoria
Bibliographic record
Abstract
Using interviews, focus groups, learning journals, and observations, we explored the impact of an arts-based adult education project on 20 homeless/street involved women in Victoria and members of the public who attended exhibitions of the artworks they produced. Although not without challenges, the project created a strong sense of belonging by building trust and new connection. It also encouraged artistic skill development and metaphoric and creative responses to difficult social issues. Meaning, artistic identity, and empowerment came from creating artworks collectively, and from the recognition the women received from sharing their art publicly. Résumé Les entretiens d’utilisation, les groupes de foyer, apprenant des journaux et des observations, nous avons exploré l’impact d’un projet d’enseignement pour adultes arts-basé sur 20 sans abri/femmes impliquées par la rue dans Victoria et les membres du public qui a assisté des expositions des travaux d’art qu’ils ont produits. Bien que pas sans les défis, le projet a créé un fort sens d’appartenir en construiant la confiance et la nouvelle connexion. Il a encouragé aussi le développement artistique de compétence et les réponses métaphoriques etcréatives aux problèmes sociaux difficiles. Signifiant, l’identité et l’autonomisation artistiques sont venues de créer de travaux d’art collectivement mais.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.013 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".