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Record W2962096897 · doi:10.1177/0263775819860850

After dispossession: An urban rights praxis of <i>remaining</i> in Vancouver’s Downtown Eastside

2019· article· en· W2962096897 on OpenAlexafffundabout
Jeffrey R. Masuda, Aaron Franks, Audrey Kobayashi, Trevor Wideman

Bibliographic record

VenueEnvironment and Planning D Society and Space · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Planning and Governance
Canadian institutionsSimon Fraser UniversityQueen's University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsDowntownGrassrootsPraxisGentrificationSociologyNarrativeExistentialismPoliticsSubalternSituatedHistoryGender studiesPolitical scienceMedia studiesAestheticsLawArchaeologyArtEconomic growth

Abstract

fetched live from OpenAlex

Drawing from a multi-year research presence in Vancouver, Canada’s Downtown Eastside, we generate insights into the praxis of the historically dispossessed within contemporary processes of subaltern urbanisms. Interviews with past and present Downtown Eastside residents reveal parallel narratives of dispossession and remaining between Japanese Canadians who were expelled during the Second World War and communities in the present-day neighborhood. A common frame of reference, a form of dispossessive collectivism, takes shape in a tenuous Right to Remain premised on material, cultural, existential, and political struggles that have inflected life in the Downtown Eastside for over a century of colonial urbanization. The Right to Remain can provide a situated and integrative vocabulary for consolidating grassroots praxis across diverse social groupings and settings to address urban spatial claims (symbolically and materially) and to confront forces of gentrification driving dispossession processes in Vancouver and beyond.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.135
Threshold uncertainty score0.273

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0300.022
Scholarly communication0.0070.003
Open science0.0010.005
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.007
GPT teacher head0.226
Teacher spread0.219 · 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

Citations24
Published2019
Admission routes3
Has abstractyes

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