From Cocoon to Community: The Role of Silk in Intercultural Learning, Research-Creation and Art Education
Bibliographic record
Abstract
Can silk inform us of the past, the present and a reimagined future? This thesis mends together familial histories, intercultural learning, and community-based art education through research-creation. The research addresses silk’s history, production as a collaborative and cultural material in two components, a body of work exhibited at the Centre Culturel Georges-Vainer in Montréal, and a community workshop. The exhibition examines my first research question, above, and the silk moth through weaving, embroidery, and paper works alongside the forgotten experiences of my great-grandmother and family in diaspora. The art-making workshop, guided by the same research question, brought together communities in Montréal through needlework, conversations on materials considerations, and a collective art piece displayed in the exhibition. The research uses the theoretical lens of intercultural arts education to investigate my second research question: how can silk threads, storytelling, and community projects like my workshop connect cultures together, specifically in a diverse and multicultural city like Montréal? By examining the stories woven into silk, I address my third research question, how can projects such as Silk Cocoon contribute to inclusive intercultural art education in community settings? I offer a glimpse into a reimagined future where the threads of the past and present converge, guided by a deeper understanding of our relationship with materials, community, heritage, and the self.
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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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.013 | 0.037 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.001 | 0.002 |
| 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".