‘We are not done’: reclaiming care after mobile health in Burkina Faso
Bibliographic record
Abstract
This paper discusses the afterlives of MOS@N, a mobile health (mHealth) intervention which, between 2014 and 2018, monitored maternal and child health in the district of Nouna, in rural Burkina Faso. The paper documents the work of "godmothers," who were hired and equipped with mobile phones to keep track of pregnant women, and accompany them for medical consultations. As is the case with the majority of mHealth projects in Sub-Saharan Africa, MOS@N was a pilot. This paper examines some of the enduring effects of practices of testing and demoing which were designed as temporary. Indeed, three years after MOS@N was shut down, godmothers are still doing care work. This work is now carried mostly on a voluntary basis and implies the constant repair of decaying technology, which undermines some of the original purposes of MOS@N, and (re)produces gendered forms of social obligation. Ultimately, the paper explores the remnants of a settled intervention, and how they may help us challenge imaginations of global health futures.
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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 | 0.007 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.015 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| 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".