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Record W2990909165 · doi:10.1111/tesg.12396

Scavenging for LGBTQ2S Public Library Visibility on Vancouver’s Periphery

2019· article· en· W2990909165 on OpenAlexafffundabout
Alison L. Bain, Julie A. Podmore

Bibliographic record

VenueTijdschrift voor Economische en Sociale Geografie · 2019
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsJohn Abbott CollegeYork University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsQueerInsiderInvisibilityPoliticsVisibilitySociologyPerformative utteranceMedia studiesGender studiesPolitical scienceGeographyAestheticsArtLawComputer science

Abstract

fetched live from OpenAlex

Abstract This paper uses mixed methods to scavenge and analyse lesbian, gay, bisexual, trans, queer and two‐spirit (LGBTQ2S) resources and visibility in public library branches on the periphery of the Vancouver city‐region in the suburban municipalities of Surrey, Burnaby, and New Westminster. It argues that in Canadian suburbs, where access to LGBTQ2S community resources are limited, libraries are simultaneously key public sites of engagement for LGBTQ2S people and places where they continue to face dominant socio‐cultural power relations of hetero and cis‐normativity that determine the availability, visibility, and accessibility of queer materials. Scavenging for queerness within virtual and material library spaces, this paper demonstrates that suburban libraries hold the promise of information and equity while also reinforcing LGBTQ2S absence, invisibility, and exclusion. The promise of social inclusion is carried forward by a few insider activist and ally librarians who act as political change agents within library systems and specific branches by creating queer‐friendly collections, spaces, and programming.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.395
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.005

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 head0.020
GPT teacher head0.303
Teacher spread0.282 · 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; both teacher heads agree on what is shown here.

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

Citations12
Published2019
Admission routes3
Has abstractyes

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