Black Women and HIV / AIDS: Contextualizing their Realities,their Silence, and Proposed Solutions
Bibliographic record
Abstract
In the more than 20 years since the emergence of the HIV/AIDS epidemic the disease has become endemic in many developing countries especially in Sub- Saharan Africa and the Caribbean fuelling a fear of the spread of HIV/AIDS across borders. This factor alone has numerous implications for Black women living in Canada and other industrialized nations. Labels cultural meanings and interpretations about the disease formed since its emergence continue to influence both the discourse on HIV/AIDS and the access to programs and services geared to its control for those most vulnerable to or at risk of infection. In the mid-80s as the discourse unfolded we as African women living in Canada were not so much concerned with contracting the HIV virus as we were with the racist undertones of media reports depicting HIV/AIDS as just another tragedy that was plaguing the poor the powerless and those living on the margins of society namely Africans IV drug users and gay men. The total absence of any consideration of the social and political realities that left African people so devastated by this disease coupled with the calculated correlation between the magnitude of the infection rates and the ascription of the exact origins of the disease created an emphasis on the duality of “us” versus “them”—-a discourse informed by centuries of mistrust based on our historical experiences of colonization and slavery. (excerpt)
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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 | 0.013 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.056 | 0.066 |
| Scholarly communication | 0.015 | 0.008 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.006 | 0.013 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".