Bibliographic record
Abstract
This chapter examines in a very general way, the context of the security crisis of HIV/AIDS in Sub-Saharan Africa (SSA). It identifies the ways in which the HIV/AIDS pandemic is being securitised, and some of the potential implications of emerging security discourses for HIV/AIDS policy on the continent. The chapter suggests how a critical feminist lens might broaden and deepen these perspectives. The mainstream securitisation of HIV/AIDS, which views the virus and its spread as a threat to United States (US) national security and its geopolitical interests around the globe, needs critical interrogation. In the securitisation of HIV/AIDS, attention needs to be focused on the theoretical and very real contradictions between national and human security and how they contribute to the manner in which various epidemics, and the responses to them, unfold. Feminist International Political Economy (IPE) and International Relations scholars have challenged the idea that human security can be realized within the context of neoliberal globalisation.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.069 | 0.020 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.008 | 0.008 |
| Insufficient payload (model declined to judge) | 0.013 | 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 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".