Foreword: Dare we hope for the erotic? HIV/AIDS, sexuality and ageing
Bibliographic record
Abstract
Extract I engage in interdisciplinary scholarship and research that focuses on Black queer and trans people, significations of HIV/AIDS and restrictions on blood donations from Black diasporic communities in Canada. I am particularly interested in the social life of blood donation and how ‘good’ donors are imagined. Primarily I focus on how anti-Black homophobia/white supremacist heteropatriarchy undergirds much of how we understand a safe blood supply. What has been revealed in this research is the ways in which sex phobia and the moralistic limits of sexual intimacy stand in for ‘good’ and ‘effective’ donor protocols. Blood, in this instance, becomes part of what Foucault (1990) identifies as the science of social control, where those deemed as high risk are positioned as not only a social dilemma but also a medical dilemma. There is also a collaboration between the medical (public health) community and the media to support the carrier/vector narrative of HIV and AIDS, with delimited purported ‘high-risk’ communities.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.047 | 0.018 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".