Adherence as therapeutic citizenship: impact of the history of access to antiretroviral drugs on adherence to treatment
Bibliographic record
Abstract
A dramatic increase in the use of antiretroviral drugs in Africa has increased focus on adherence to treatment, which has so far been equivalent if not superior to that in northern contexts. The reasons for this exceptional adherence are poorly understood. In this paper, we examine adherence in the historical and ethnographic context of access to treatment in Burkina Faso, Côte d'Ivoire and Mali. Living where there is no social security and minimal, if any, medical care, individuals diagnosed with HIV are faced with the threat of illness, death, ostracism and destitution, and were obliged to negotiate conflicting networks of obligation, reciprocity, and value. HIV and AIDS programmes value efforts to address social, and indeed biological, vulnerability. In contrast, kinship-based social relationships may value individuals in other ways. These conflicting moral economies often intersect in the worlds of people living with HIV. HIV status can be used to claim resources from the public or non-governmental organization programmes. This may interfere with social networks that are the most stable source of material and emotional support. Self-help and empowerment techniques provided effective tools for people living with HIV to fashion themselves into effective advocates. In the early years of the use of antiretroviral therapy (ART), access to treatment was thus mediated by confessional practices and forms of social triage. We introduce the term 'therapeutic citizenship' to describe the way in which people living with HIV appropriate ART as a set of rights and responsibilities to negotiate these at times conflicting moral economies. Exemplary adherence should be viewed through the lens of therapeutic citizenship.
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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 | 0.004 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.008 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".