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Record W3092007146

Intergenerational Storytelling with Chinatown Seniors — with Yulanda Lui and Rachel Lau

2020· article· en· W3092007146 on OpenAlexaboutno aff
Yulanda Lui, Rachel Lau, Rachel Wong, Paige Smith, Melissa Roach, Kathy Feng, Fiorella Pinillos

Bibliographic record

VenueSummit (Simon Fraser University) · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Development and Environment
Canadian institutionsnot available
Fundersnot available
KeywordsChinatownStorytellingSociologyNarrativeHistoryArtLiterature
DOInot available

Abstract

fetched live from OpenAlex

Yulanda Lui and Rachel Lau share experiences from the making of the radio documentary series Speak My Language, which highlighted the stories of Chinese-Canadian seniors facing barriers in accessing the BC healthcare system. A project of Yarrow Intergenerational Society for Justice, the radio pieces were created in collaboration with youth and seniors under the mentorship of project coordinator and lead artist Rachel Lau with the support of Yarrow co-founder Yulanda Lui. This episode is hosted by our Office’s previous Communications Coordinator, Rachel Wong, and touches upon ethical community-based storytelling and accessing healthcare for non-English speakers.\nRachel Lau is a community-engaged artist, writer, and radio producer based in what’s colonially known as “Vancouver”. Through audio storytelling, photography, and zine-making, they produce work that grapples with ideas and feelings around resistance, longing, transience, death, and decay. As part of their audio practice, they have produced several narrative radio documentaries focused on the lives of marginalized peoples, including Vancouver’s Chinatown community. More recently, they have expanded their practice into the realm of sound art. Rachel is also a recent graduate of the media studies program at the University of British Columbia, with a minor in Asian Canadian & Asian Migration studies.\nYulanda Lui is from Toronto, the territory of the Huron-Wendat, the Seneca, and the Mississaugas of the Credit River. She graduated from UBC in 2017 with a BA in Gender, Race, Sexuality & Social Justice and a minor in Asian Canadian and Asian Migration Studies. At UBC, she was the primary coordinator of The Pride Collective at UBC, organizing fellow student volunteers to support and improve the health and safety of queer and trans students. In 2018, Yulanda co-founded Yarrow Intergenerational Society for Justice, a non-profit organization that provides and enables services, advocacy, and education that develop youth and senior leadership and build community power in Vancouver's Chinatown and the Downtown Eastside. Yulanda is a strong believer that relationships are at the core of social change. Starting this fall, Yulanda will be attending the New York University School of Law as a Root-Tilden-Kern public interest scholar. She hopes to use her law degree to continue to empower her communities, to advocate for the rights of marginalized peoples, and to break down barriers to accessing health, education, social support, and justice.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.099
Threshold uncertainty score0.197

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0240.007
Scholarly communication0.0050.003
Open science0.0010.007
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0060.001

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 head0.013
GPT teacher head0.194
Teacher spread0.181 · 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 source (direct Gemma or distilled Codex), 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
Published2020
Admission routes1
Has abstractyes

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