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Record W4407679721 · doi:10.5206/ijoh.2023.3.16670

“We Deserve the Dignity of Being Housed”: LGBTQ2+ Housing Experiences in Fresno County, California

2025· article· en· W4407679721 on OpenAlexvenueno aff
Katherine Fobear

Bibliographic record

VenueInternational Journal on Homelessness · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicUrbanization and City Planning
Canadian institutionsnot available
Fundersnot available
KeywordsDignityPolitical scienceGerontologyEnvironmental ethicsSociologyMedicineLawPhilosophy

Abstract

fetched live from OpenAlex

Lesbian, gay, bisexual, transgender, queer, and Two-Spirit (LGBTQ2+) adults experience homelessness and housing precarity at greater rates than their cisgender and heterosexual counterparts. Although LGBTQ2+ adult individuals make up a significant portion of the homeless population, the oppression and barriers they experience are often invisiblized. Research on LGBTQ2+ housing experiences and homelessness in the United States has predominantly focused on individuals in larger urban centers and on homeless LGBTQ2+ youth. This study focuses on the housing experiences of LGBTQ2+ adults living in Fresno, California. The City of Fresno and Fresno County are situated within the Central Valley, a largely rural area with limited resources that has one of the fastest-growing poverty rates in the state. Understanding LGBTQ2+ adult housing experiences not only provides critical insight into the housing barriers in Fresno but also provides a template for similar research in other mixed urban and rural areas. Using empirical data, this study provides a deeper understanding regarding queer precarity and ontological security surrounding housing and LGBTQ2+ communities.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.535
Threshold uncertainty score0.297

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.025
GPT teacher head0.324
Teacher spread0.298 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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