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Record W7008728114

From Cocoon to Community: The Role of Silk in Intercultural Learning, Research-Creation and Art Education

2024· dissertation· en· W7008728114 on OpenAlexaboutno aff

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2024
Typedissertation
Languageen
FieldArts and Humanities
TopicArt Education and Development
Canadian institutionsnot available
Fundersnot available
KeywordsExhibitionMulticulturalismThe artsVisual arts educationExperiential learningHigher educationCreativity
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.477
Threshold uncertainty score0.919

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.035
GPT teacher head0.315
Teacher spread0.280 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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