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Record W3195277968 · doi:10.1111/1468-0424.12549

‘Facing it Together’: Early Caregiving Responses to Vancouver's HIV/AIDS Epidemic

2021· article· en· W3195277968 on OpenAlexaffabout
Ben Klassen

Bibliographic record

VenueGender & History · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsCommunity Based Research Centre
Fundersnot available
KeywordsHuman immunodeficiency virus (HIV)Psychological resiliencePoliticsGender studiesGerontologyOral historySociologyPsychologyMedicineSocial psychologyPolitical scienceFamily medicineAnthropology

Abstract

fetched live from OpenAlex

Abstract This article utilises oral history interviews with long‐term survivors and caregivers in Vancouver, British Columbia to foreground the importance of gay men's early HIV/AIDS caregiving work. Caregiving was essential to the health and resilience of Vancouver's gay community and served as a political response to homophobic discourses that demonised gay men and devalued the lives of people living with HIV/AIDS. This analysis of the practical and political significance of HIV/AIDS caregiving demonstrates that historians must find better ways to recover the often‐untold histories of men's caregiving and domesticity and appreciate their significance to the success of social movements.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.175
Threshold uncertainty score0.351

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0340.012
Scholarly communication0.0090.002
Open science0.0010.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0060.000

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 head0.062
GPT teacher head0.234
Teacher spread0.173 · 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 source (direct Gemma or distilled Codex), 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

Citations6
Published2021
Admission routes2
Has abstractyes

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