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Record W3093571894 · doi:10.29173/topo24

The Exploration of LGBTQ2+ Communities

2020· article· en· W3093571894 on OpenAlexvenueno aff
Natalie Tremblay

Bibliographic record

VenueTopophilia · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicUrbanization and City Planning
Canadian institutionsnot available
Fundersnot available
KeywordsIdentity (music)SociologySpace (punctuation)Perspective (graphical)Social identity theoryGender studiesCultural identityPublic relationsSocial groupPolitical scienceSocial scienceAestheticsVisual artsComputer science

Abstract

fetched live from OpenAlex


 
 
 This paper will analyze identity, and what identity means for the LGBTQ2+ community with regards to physical places and spaces. Shared identity, and individual identity of the LGBTQ2+ community shape the physical places and spaces in which the community can live and thrive. Looking into the differentiation of sexualities today has led to boundaries separating the LGBTQ2+ community from cultural and social spaces, as well as physical places and spaces. Why these boundaries exist for the LGBTQ2+ community, and the justification for these boundaries will be brought to light from an urban planning perspective. The importance of the work of urban planners shaping cities and communities to create a safe and comfortable space for the LGBTQ2+ community will be explored. The boundaries presented by the LGBTQ2+ community provides a just social and cultural geography for individuals with shared identities to create a safe space and diverse communities and neighbourhoods. The border presented by LGBTQ2+ communities allows for the voice of LGBTQ2+ individuals to be heard, and the cultural and social geographies to reflect the acceptance of this community.
 
 

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)0.003
metaresearch head score (Gemma)0.003
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: none
Teacher disagreement score0.034
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0190.017
Scholarly communication0.0080.006
Open science0.0010.015
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0140.001

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 head0.139
GPT teacher head0.319
Teacher spread0.180 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

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