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Record W3203004058 · doi:10.1177/23996544211036470

Linguistic ambivalence amidst suburban diversity: LGBTQ2S municipal ‘social inclusions’ on Vancouver’s periphery

2021· article· en· W3203004058 on OpenAlexafffundabout
Alison L. Bain, Julie A. Podmore

Bibliographic record

VenueEnvironment and Planning C Politics and Space · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsJohn Abbott CollegeYork University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsInclusion (mineral)Diversity (politics)CitizenshipLinguistic landscapeSociologyGender studiesAmbivalenceMetropolitan areaPolitical sciencePoliticsGeographySocial psychologyAnthropologyLinguisticsPsychology

Abstract

fetched live from OpenAlex

Social inclusion frameworks to enhance ‘diversity’ inform late neoliberal municipal governance in North American metropolitan areas, especially in central cities, but suburban LGBTQ2S constituencies are neglected by researchers. This paper, therefore, uses linguistic discourse and content analysis of an LGBTQ2S-inclusion archive of municipal public-facing communication in the Canadian peripheral municipalities of Burnaby, New Westminster, and Surrey, in the Vancouver city-region to trace the micro-patterns of linguistic ambivalence shaping suburban sexual citizenship. It demonstrates municipal variance in vernacular vocabularies of LGBTQ2S social inclusion that signals equivocation within divergent local linguistic political opportunity structures for suburban sexual and gender minorities. It concludes with a typological narration that details varied gradations of linguistic obfuscation, revealing patterns of civic ambivalence towards LGBTQ2S social inclusion amidst suburban diversity. Across a shared regional geography, the paper shows that LGBTQ2S populations are infrequently referenced relative to other marginalized social groups and that their presence in social inclusion frameworks is dictated by the extent to which they align with civic priorities, particularly festivalization and marketization, but also safety, welcoming newcomers, integrating seniors, and anti-discrimination initiatives.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.834
Threshold uncertainty score0.999

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 studies0.0020.000
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 head0.023
GPT teacher head0.270
Teacher spread0.247 · 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
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

Citations6
Published2021
Admission routes3
Has abstractyes

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