Exploring Sustainable Livelihoods Through Pierre Bourdieu’s Theory of Capital: A Strategy to Reduce Vulnerability Among Young Adults with HIV in Kisumu, Kenya
Bibliographic record
Abstract
Sustainable livelihoods remain a vital part of health and can significantly influence overall health outcomes. In sub-Saharan Africa, where HIV continues to affect household economic stability, small-scale but sustainable livelihood interventions have proven essential for economically vulnerable families. These economic empowerment initiatives, mainly funded by non-governmental organizations, are common across the region. Despite their important role in shaping health outcomes, there is a limited understanding of the theoretical frameworks that guide their implementation and results, especially among households affected by HIV. Using qualitative methods, we applied Pierre Bourdieu’s theory of capital to better understand how livelihood projects are implemented among young adults living with HIV in Kisumu. Our findings indicate that livelihood interventions need more than just economic capital to be successful. Social and cultural capital, for example, help overcome barriers like stigma and foster a sense of belonging, while economic capital enables start-up activities and knowledge sharing that support livelihoods. The insights from this study are important for guiding resource allocation toward economic development and social asset building as ways to leverage different types of capital.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 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".