‘When whites catch a cold, black folks get pneumonia’: a look at racialized poverty, space and HIV/AIDS
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 paper explores the lived experiences of former NBA player Magic Johnson, and the late ‘Godfather of Gangsta Rap’ Eazy E to examine how their everyday realities as Black men with different socio-economic opportunities around the Civil Rights era affected their fight against HIV. Johnson contracted HIV nearly 30 years ago, and continues to live a healthy, productive life. Eazy E on the other hand, contracted the virus around the same time and later succumbed to AIDS. The differences in the lived experiences of the two men warrant scholarly attention, particularly now amidst the Covid-19 pandemic. Their differences in social position, stemming from the uneven inequities of the culture and racialization of poverty, much like the wider global epidemic of HIV/AIDS itself, are crucial in the spread and survival rate of those that contract HIV. Overall, then, this paper aims to address the following research question: how do social issues of space and racialized poverty affect the lived experiences of African Americans with HIV? This paper will examine the production of social space and spatial structural violence, as well as racialized poverty, and their effects on likelihood of infection and survival of HIV and infectious disease more broadly.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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