The field-ready tea-box adaptometer: colonial nutrition science and/in imperial economies in Malawi
Bibliographic record
Abstract
Abstract In the late 1930s, children in three Malawian villages were subjected to a peculiar test for vitamin A deficiency devised by Dr. Benjamin Platt, director of the Nyasaland Nutrition Survey and a leading colonial nutrition scientist. Platt constructed a makeshift adaptometer, appropriate for field conditions, that could be placed over a subject’s head to measure retinal adaptation to light. He built this contraption from simple materials, including a five-pound tea-box and sticking plaster. This article takes the curious commingling of commodity objects and scientific materials (where a discarded tea-box finds new life as an experimental technology) as an entry point for examining how scientific practices are woven from semiotic and material threads, demonstrating how heterogeneous social and material elements overlap and influence one another. The article first analyses how Platt’s tea-box adaptometer – and the discourses and ambitions framing the Survey – imagined a new kind of nutrition research hinged to the space of the field rather than the laboratory. It then proceeds to consider how the tea-box, an incipient manifestation of ‘appropriate technology’, points us towards the more tacit ways that tea wove itself into the fabric of the Survey and colonial society, as a gustatory discourse steeped in racial anxieties. Attending to the ‘stuff’ of scientific work cued me to broader imperial circuits and interests that shaped colonial nutrition research.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.037 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".