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Record W1983901647 · doi:10.1521/aeap.17.3.119.62903

The Prevalence, Correlates, and Costs of Depression in People Living With HIV/AIDS in Ontario: Implications for Service Directions

2005· article· en· W1983901647 on OpenAlex
Peter Williams, Lea Narciso, Gina Browne, Jacqueline Roberts, Robin Weir, Amiram Gafni

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

VenueAIDS Education and Prevention · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsMcMaster UniversityOntario AIDS Network
Fundersnot available
KeywordsMedicineDepression (economics)Human immunodeficiency virus (HIV)GerontologyPublic healthEnvironmental healthPsychiatryVirologyNursing

Abstract

fetched live from OpenAlex

As new technologies extend the lives of people living with HIV/AIDS (PHA), the need increases for services that optimize their quality-of-life cost effectively. This study of PHAs (n = 297) in Ontario, Canada, examined the prevalence of depression, and its association with quality-of-life, coping strategies, social support, and use of health and social services. Results showed that depression was widespread (54.2%) and largely unrelated to demographic characteristics, but associated with diminished health status, health-related quality-of-life, and coping strategies. Depressed PHAs used significantly more crisis health care and related services, and community-based HIV/AIDS service organizations (ASOs). Findings suggest quality-of-life of PHAs may be improved by expanding the capacity of ASO workers to recognize and address depression, including helping depressed PHA access appropriate medication and sustain medication regimes.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.780
Threshold uncertainty score0.935

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 science0.0000.000
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 head0.015
GPT teacher head0.331
Teacher spread0.316 · 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