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Record W3159527157 · doi:10.3138/uhr.48.2.05

Beyond Pain Narratives? Representing Loss and Practising Refusal at the Astoria Hotel

2021· article· en· W3159527157 on OpenAlexaffvenueabout
Angela May

Bibliographic record

VenueUrban History Review · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsMcMaster University
Fundersnot available
KeywordsNarrativeScholarshipEthnographySociologyHistoriographyAestheticsEmbeddednessHistoryMedia studiesLawLiteratureSocial sciencePolitical scienceAnthropologyArt

Abstract

fetched live from OpenAlex

Recent scholarship that contends with the ethical and political difficulty of representing loss has emphasized the importance of Indigenous, racialized, urban, and/or otherwise oppressed communities’ refusal to recite “pain narratives”. According to these formulations of refusal, there are some things about which the academy does not need to know. Not as much scholarship has considered that there may be some pain about which we do need to know. Drawing on archival records, nine months of ethnographic embeddedness in Vancouver’s Downtown Eastside (DTES), and conversations with two DTES organizers, this article responds to this question by arguing for representations of loss that cut against the spectacularity of pain narratives by rendering visible how loss manifests in the everyday. By way of example, this article contextualizes loss at a Single Room Occupancy (SRO) hotel called the Astoria Hotel. Tracing the history of the Astoria from the early 1900s to the present-day, this article shows how ongoing death, loss, and incumbent remembrance at the Astoria was not—and is still not—inevitable. It shows how DTES organizers, including those connected with the DTES SRO Collaborative and the Tenant Overdose Response Organizers, are working against violent forces which threaten the neighbourhood and community. In doing so, this article brings together studies of urban history, ethnography, and public memory to take seriously the notion that some pain does matter, while at the same time, inviting critique and further discussion of what it means to subvert pain narratives and what constitutes the work of refusal.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.804
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0070.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.031
GPT teacher head0.312
Teacher spread0.281 · 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
GenreReview

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

Citations2
Published2021
Admission routes3
Has abstractyes

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