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Record W3035107080 · doi:10.1177/0042098020914857

Negotiating racialised (un)belonging: Black LGBTQ resistance in Toronto’s gay village

2020· article· en· W3035107080 on OpenAlexafffundabout
Rae Rosenberg

Bibliographic record

VenueUrban Studies · 2020
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsQueerGender studiesSociologyLesbianResistance (ecology)TransgenderRacismNarrativeAutoethnographyArt

Abstract

fetched live from OpenAlex

This article explores the ways in which homeless Black queer and trans youth embody and perform everyday acts of temporal and spatial resistance in Toronto’s gay village. By analysing interviews, mental maps and photographs from my research with homeless lesbian, gay, bisexual, transgender, queer and Two-Spirit (LGBTQ2) youth, I present how homeless Black queer and trans youth counter the whiteness and anti-Black racism they frequently experience in the village through acts of remembering and placemaking. Specifically, I argue that despite the small-scale reach of the everyday resistance that manifests in our interviews, temporal and spatial resistance challenge the whitewashing of Toronto’s gay village, which is particularly crucial in a moment when the village is centred in conversations of anti-Black racism in the city’s queer community. Engaging in these forms of everyday resistance illustrates the ways in which homeless Black LGBTQ youth instruct their own placemaking in an otherwise uninhabitably racialised neighbourhood, shift narratives of their experiences in processes of knowledge production and spark processes of their own politicisation and community building.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.654
Threshold uncertainty score0.978

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.070
GPT teacher head0.389
Teacher spread0.319 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations31
Published2020
Admission routes3
Has abstractyes

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