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Record W2810985163 · doi:10.1521/aeap.2018.30.3.208

Leveraging a Legacy of Activism: Black Lives Matter and the Future of HIV Prevention for Black MSM

2018· article· en· W2810985163 on OpenAlex
Derrick D. Matthews

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAIDS Education and Prevention · 2018
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsMen who have sex with menContext (archaeology)Public healthQuarter (Canadian coin)Human immunodeficiency virus (HIV)Gender studiesPower (physics)GerontologyPolitical scienceSociologyEconomic growthMedicineHistoryVirology

Abstract

fetched live from OpenAlex

This year marks the 30th anniversary of AIDS Education and Prevention. As we approach the United Nations goal of ending the AIDS epidemic by 2030, it is a useful time to reflect on and learn from history. In the United States, no such endeavor can be successful without addressing the specific context of Black men who have sex with men. In this commentary I highlight factors that led us to a state in which Black MSM represent approximately a quarter of all people living with HIV in the United States. I also look back at the power of activism during the beginning of the HIV epidemic. Using Black Lives Matter as a contemporary framework, I highlight natural linkages between activism 30 years ago, its incarnation and relationship to public health today, and its promise as the way forward in achieving the elimination of AIDS for Black MSM by 2030.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.753
Threshold uncertainty score0.445

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 communication0.0000.000
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 head0.021
GPT teacher head0.354
Teacher spread0.333 · 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