19. Navigating Sexual Health within a Desexualized Body: HIV/AIDS & Disability
Bibliographic record
Abstract
This research explores commonly overlooked intersections of disability and HIV/AIDS, theorizing that institutional desexualization of disabled students in educational settings is correlated with higher rates of HIV transmission later in life. Working primarily within the fields of disability studies, HIV/AIDS studies, and gender studies, this project targets the gap in research on disability and HIV/AIDS, understanding disabled individuals as being at a heightened risk for HIV transmission yet simultaneously being less likely to receive sexual health education than non-disabled peers, as seen in emerging research by Nora Grace (2003; 2004). This research theorizes a relationship between institutional desexualization and HIV transmission later in life. Specifically, this relationship may exist in the following pattern, beginning with early and continued desexualization of disabled individuals leading to social assumptions of universal asexuality, thus potentially causing a lack of sexual health resources and education due to this assumed sexual inactivity. A lack of sexual health resources may influence higher rates of engagement in high-risk sexual activity due to this lack of sexual health knowledge among disabled individuals, which could thus account for higher rates of HIV transmission within disabled populations. In establishing disabled individuals as at heightened risk for HIV and disrupting the desexualization of disability, I provide recommendations for future research and policy pathways in the aim of further exploring the intersections of HIV/AIDS and disability in order to reduce the rates of HIV transmission within disabled population.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.020 | 0.002 |
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".