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Record W4415196583 · doi:10.1080/00918369.2025.2570432

Housing Quality and Affordability Among Same- and Different-Sex Couple Households

2025· article· en· W4415196583 on OpenAlexaboutno aff
Alexis Swendener, Brandi Woodell

Bibliographic record

VenueJournal of Homosexuality · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicUrban, Neighborhood, and Segregation Studies
Canadian institutionsnot available
FundersNational Center for Advancing Translational Sciences
KeywordsQuarter (Canadian coin)Quality (philosophy)Housing tenureSurvey data collectionAffordable housingPublic housingHousehold incomeExploratory research

Abstract

fetched live from OpenAlex

Within American society, marginalization shapes access to many needed resources. As the U.S. housing crisis has shown, the need for affordable, stable, safe housing is paramount. Given the severity of the current housing crisis, we seek to understand housing insecurity, particularly among LGBTQ+ adults. In this brief report, we draw upon nationally representative data from the 2019-2022 American Community Survey to provide an up-to-date overview of inequities in housing quality and affordability among same- and different-sex couple households. We find that different-sex married households had the lowest proportions of incomplete plumbing and kitchen facilities. In addition, over a quarter of both different-sex and female same-sex cohabiting couple households spend more than 30% of their household income on housing needs, while the lowest proportion of housing cost burden was among male same-sex married couples. Our exploratory analysis suggests opportunities for future investigations of factors related to housing insecurity among sexual minority groups.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.620

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.059
GPT teacher head0.370
Teacher spread0.311 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

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