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Record W4388040509 · doi:10.3390/healthcare11212869

An Agentic Familiarity: The Context of HIV/AIDS and Sexual Orientation for Older Canadians during the COVID-19 Pandemic

2023· article· en· W4388040509 on OpenAlexafffund
Brian de Vries, Gloria Gutman, Robert Beringer, Paneet Gill, Mojgan Karbakhsh

Bibliographic record

VenueHealthcare · 2023
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsUniversity of VictoriaSimon Fraser University
FundersCanadian Frailty Network
KeywordsPandemicSexual orientationCoronavirus disease 2019 (COVID-19)Context (archaeology)Human immunodeficiency virus (HIV)2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)VirologyPsychologyOrientation (vector space)MedicineSocial psychologyGeographyInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

This paper examines how experiences with a previous pandemic, particularly HIV/AIDS, may have informed approaches to COVID-19, with a focus on sexual orientation. METHOD: The sample was drawn from an online survey of Canadians 55+ conducted in 2020, comprising 1143 persons (mean age = 67; 88 gay or bisexual (GB) men, 65 lesbian or bisexual (LB) women, 818 heterosexual women, and 172 heterosexual men). Respondents reported if they, or someone close to them, "had been affected by" one or more pandemics and whether COVID-19 led them to "think more about their prior epidemic/pandemic experiences" and/or feel they "couldn't handle it again". Correlated items reflecting feeling "they have been here before"; "prepared for what is happening"; and "like they needed to act or do something" formed a scale named "agentic familiarity". RESULTS: About half of respondents reported thinking about their previous pandemic experience; about 5% reporting feeling like "they couldn't handle it again" with no gender or sexual orientation differences. Higher agentic familiarity scores were found for GB men and for those with experience with HIV/AIDS vs. other pandemics. DISCUSSION: These outcomes speak to resilience and growth experienced by LGBT (and especially GB) persons through shared stigma and trauma-with implications for current pandemic experiences and future actions, like advance care planning.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.247
Threshold uncertainty score0.984

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 head0.086
GPT teacher head0.417
Teacher spread0.331 · 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

Citations6
Published2023
Admission routes2
Has abstractyes

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