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Record W7130613181 · doi:10.7202/1123353ar

Dialogues in Silk: Material Explorations for Community Art Education

2025· article· en· W7130613181 on OpenAlexaboutno aff
Jacky Lo

Bibliographic record

Venue˜The œCanadian art teacher. · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicArt Education and Development
Canadian institutionsnot available
Fundersnot available
KeywordsSILKWeavingChinaYardStyle (visual arts)

Abstract

fetched live from OpenAlex

Can silk inform us of the past, the present and a reimagined future? Jacky Lo explores this question through community art-based workshops, bringing together lost histories, family migration, and personal narratives. Lo examines weaving and embroidery to consider silk as a collaborative exchange of cultures alongside the exploration of family histories—silk’s production also represents diaspora and lost memories of Lo’s Chinese ancestry. The material of silk has been part of Chinese history and economies for centuries. In Canada, the first yard of woven silk was produced in 1922 by the Montreal-based Bruck Silk Mills at their Cowansville location. Connecting the history of silk with his own experiences, the public of Montreal are invited to create their own silk moth through the material consideration of silk and techniques of embroidery. The research confronts the inherent complexities and ethical considerations surrounding silk production. While silk is often considered a sustainable fibre, its production involves the extraction and, in many instances, the immolation of silkworms. Lo’s community gathering becomes a literal tapestry of interconnected narratives, where silk becomes not just a material but a medium for dialogue and cultural exchange. Through his workshops and research, Lo invites us to ponder the stories woven into silk, offering 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, 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.926
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.064
GPT teacher head0.278
Teacher spread0.213 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2025
Admission routes1
Has abstractyes

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