Providing a Creative Space for Expression: I.D. VIDEO, a Video-Art Pilot Project for Immigrant Youth
Bibliographic record
Abstract
Upon their arrival to a new country, immigrant youth face many social, economic and personal challenges, noticeably a break with their social network and cultural references, and a shift in self-perception. In response to this issue, I.D. VIDEO, was developed, building upon the school-based, creative arts prevention programs developed by Dr. Rousseau’s transcultural psychiatry team at McGill University. I.D. VIDEO’s goal was to provide a safe and playful space for expression in order for immigrant youth in several ‘welcoming classes’ in Montréal (Canada) to explore their common past and present experiences. The youth viewed artist’s videos and learned basic camera techniques as inspiration to create their visions that challenged traditional media forms and reflected their multiple perspectives. Cultural strengths and collective losses occurring due to migration were addressed through the creative use of video technology, with the hope of providing a place for elaborating flexible identities so as to better face the discrimination that often accompanies the acculturation to a new country. School based creative projects, such as I.D. VIDEO might be one way of highlighting assets, developing talents and facilitating solidarities among marginalized individuals and communities.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".