Reclaiming HIV/AIDS in digital media studies
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.
Bibliographic record
Abstract
This article puts forward an argument for the importance of HIV/AIDS to digital studies, focusing, focusing on the North American context. Tracing conjoined histories and presents makes clear that an HIV-informed approach to digital media studies offers methods for attuning to marginalized media practices that should be central to interrogating the politics, relations, and aesthetics of digital media. Artist Kia LaBeija’s #Undetectable (2016) is closely analyzed in order to explicate some of HIV’s potential resonances for digital studies, including viral media and justice-based responses to surveillance. We then propose a methodological framework for centering HIV in understandings of three key concepts for the field: (1) networks; (2) social media and platforms; and, (3) digital history. We argue that HIV-positive users bring expertise to navigating digital infrastructures that can surveil and harm while also facilitating pleasure and connection. Such tension provides models of response that publics need to insist upon more just digital tools and structures for our unfolding present.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it