Resilience and Hope: Exploring Immigrant and Refugee Youth Experiences through Community-based Arts Practice
Bibliographic record
Abstract
Community-based arts practice is programming that informs and fosters essential components of well-being and belonging, including resilience, community attachment via interpersonal connection and exchange as preventive to mental health stressors. Our Art Hive is in a centre-city high school with immigrant and refugee youth in St. John’s Newfoundland, where newcomers often face an insider/outsider dynamic of disconnection. The pop-up Art Hive is a publicly accessible and community-located art-making space grounded in Adlerian theory, collaborative community development, feminist thought, and social justice. Through a community-situated arts-based participatory process, we sought emergent themes. An earlier phase of our collaborative project involved visual art-making and exploring experiences of inclusion and belonging. A second phase of the project included some of the same youth and new members, adding local students invited by the immigrant and refugee youth. This phase explored resilience and hope as a feature of well-being and functioning and as having a relationship with immigrant and refugee youth experiences in smaller Canadian centres. The Art Hive, a form of community art therapy practice, is structured along seven social parameters: focus on intentional art-making, no critical commentary (positive or negative), non-evaluative in nature, no forced participation, witnessing, sharing, and participatory involvement of facilitators. The participant-planned and hosted final exhibit contributed to learning, sharing, and group cohesiveness. A focus group generated data on how the Art Hive informs cultural experiences and feelings of hope.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.015 | 0.013 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.016 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".