Pathways among Human Security, Gender, and HIV/AIDS in Sub-Saharan Africa
Bibliographic record
Abstract
Traditional security theory has treated health concerns as isolated threats to national interest, separated analytically from their broader social and political economy causes and contexts. If the concept of human security is restricted to these same parameters, as in the narrow definition of human security as "freedom from fear," and health is considered to be an issue of security only when overt physical, especially military, violence is involved, the explanatory as well as emancipatory potential of the concept is diminished. However, a broad concept of human security that encompasses "freedom from want" offers a conceptual space for identifying and analyzing the relevant social, political and economic connections that characterize contemporary global health problems such as HIV/AIDS. Within the conceptual framework of human security, a gender analysis that illuminates the gender dimensions of human security - in terms of individual disease risk, access to treatment, and impacts on livelihood - is critical to providing insights to guide effective policy on HIV/AIDS. Also, policies need to take into account the multiple social, cultural, economic and political factors that determine the disease pathways.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".