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Record W4411448786 · doi:10.1080/15381501.2025.2519589

A rocky road to resiliency: An exploration of GetaKit by BlackCAP

2025· article· en· W4411448786 on OpenAlex

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 HIV & Social Services · 2025
Typearticle
Languageen
FieldComputer Science
TopicICT in Developing Communities
Canadian institutionsBlack Coalition for AIDS PreventionUniversity of OttawaInstitute for Christian StudiesUniversity of Toronto
Fundersnot available
KeywordsGeographyGeology

Abstract

fetched live from OpenAlex

In Ontario, HIV diagnoses continue to remain highest among individuals who identify as gay, bisexual, or men who have sex with men (GBM), as well as persons of African, Caribbean, or Black (ACB) ethnicities. To address this, GetaKit, an internet-based service allowing for individuals to acquire a free HIV self-test (HIVST) partnered with the Black Coalition for AIDS Prevention (BlackCAP), an AIDS service organization in Toronto. As part of a larger mixed methods study, this work builds upon the quantitative data already published to explain the testing behaviors of ACB GBM. Using a focus group, this study supports what is already known about culturally sensitive health interventions to support community resiliency and liberation. However, the findings also demonstrate that there exist issues which threaten to undermine the fecundity of HIVST as a resiliency building tool, including concerns around trust, privacy, and misaligned, at times apotropaic, beliefs around the test itself.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.560
Threshold uncertainty score0.408

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0020.000
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 head0.023
GPT teacher head0.305
Teacher spread0.282 · 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