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Record W7113703982

Folding Collective Joy and Reparation

2025· other· en· W7113703982 on OpenAlexaboutno aff

Bibliographic record

VenuecIRcle (University of British Columbia) · 2025
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPlacemakingChinatownGentrificationArchitectureAgency (philosophy)RealmReflexivityInsiderSituationismPublic space
DOInot available

Abstract

fetched live from OpenAlex

The Sun-Yat-Sen courtyard in Vancouver’s Chinatown is a contested space, sometimes manifesting the socio-material realm of cultural celebration and intergenerational joy. It is located near the gentrification project 105 Keefer, where the Chinatown communities expand their voices and act against the gradual, ongoing displacement pressures. Under the impact of this indirect and sensory displacement, there is a degradation of social services and gathering spaces, as well as the issues of language barriers and class-based judgments, which are major concerns for low-income seniors in the community. Advocating for spatial justice in the Sun-Yat-Sen courtyard serves as a critical microcosm to resonate intergenerational efforts toward resilience and reimagine the authentic public space to enhance place-keeping in the field of landscape architecture. It is significant to challenge the mono-application of design universality in the City of Vancouver and reimagine the guidance of cultural specificity to serve community benefits and keep the meaningful placemaking in the urban landscape. Along with cultural specificity, the spatial flexibility and transitions also invite community agency of their contingent decision-making when landscape architecture provides instrumental strategies to assist spatial activation. The readers will also be invited to alternate the positionality from an outsider to an insider via the mapping of Garlic Walk.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.058
Threshold uncertainty score0.116

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0260.019
Scholarly communication0.0110.004
Open science0.0010.014
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0280.004

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 head0.008
GPT teacher head0.187
Teacher spread0.179 · 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 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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