AIDS and Agriculture in Zambia
Bibliographic record
Abstract
BACKGROUND: Because agriculture is the livelihood base for the majority of people affected by AIDS in sub-Saharan Africa, the interactions between AIDS and agriculture, and their implications for policy and programming, are of fundamental importance. OBJECTIVE: This paper summarizes evidence from three RENEWAL (Regional Network on AIDS, Livelihoods, and Food Security) research studies and one policy review on the interactions between AIDS and agriculture in Zambia and their implications for future policy and programming. METHODS: The unit of analysis adopted for each study varies, spanning the individual, household, cluster, and community levels, drawing attention to the wider socioeconomic landscape within which households operate. Results. This paper identifies the ways in which livelihood activities, within the prevailing norms of gender, sexuality, and perceptions of risk in rural Zambia, can influence susceptibility to HIV and how the nature and severity of the subsequent impacts of AIDS are modified by the specific characteristics and initial conditions of households, clusters, and communities. CONCLUSIONS: The findings demonstrate the importance of studying the risks, vulnerabilities, and impacts of the AIDS epidemic in the context of multiple resource flows and relationships between and within households-and in the context of other drivers of vulnerability, some of which interact with HIV and AIDS. The paper addresses several factors that enable or hinder access to formal support programs, and concludes by highlighting the particular importance of engaging communities proactively in the response to HIV and AIDS, to ensure relevance, sustainability, and scale.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".