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Record W2969352235 · doi:10.5505/jaltc.2019.69188

Mostly white, Christian, and straight: Informational and institutional erasure of LGBTQ and ethnoculturally diverse older adults on long-term care homes websites

2019· article· en· W2969352235 on OpenAlex
Ferzana Chaze, Sulaimon Gıwa, Nellie Groenenberg, Bianca Burns

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Aging and Long-Term Care · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicMedia, Religion, Digital Communication
Canadian institutionsMemorial University of NewfoundlandSheridan College
Fundersnot available
KeywordsSnapshot (computer storage)Inclusion (mineral)Diversity (politics)Public relationsSociologyGerontologyPsychologyPolitical scienceGender studiesMedicineComputer science

Abstract

fetched live from OpenAlex

The website of a long-term care home is the face of the organization, providing not only a snapshot view of the home’s programs and services, but also an insight into the organization’s vision, mission, policies, and culture. The website provides information—either purposefully or inadvertently—about the manner in which the organization responds to diversity among its residents. Guided by an intersectional analysis, this study uses content analysis to examine websites of long-term care homes run by companies, municipalities, and not-for-profit organizations in two provinces in Canada to understand how these websites demonstrate inclusion towards ethnoculturally diverse and LGBTQ older adults. Findings of the study indicate that these long-term care home websites showed very little inclusion of LGBTQ and ethnoculturally diverse older adults in the information provided on their website.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.209
Threshold uncertainty score0.537

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 studies0.0000.000
Scholarly communication0.0000.001
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 head0.012
GPT teacher head0.234
Teacher spread0.222 · 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