On Knowing and Not Knowing “Life” in Molecular Biology and Xhosa Healing: Ontologies in the Preclinical Trial of a South African Indigenous Medicine (Muthi)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Seemingly distant practices of molecular biology and indigenous Xhosa healing have commonalities that I would like to bring into conversation in this article. The preclinical trial of an indigenous medicine brings them together in a research consortium. In this instance, both sets of experts are meant to collaborate in preparing a wild bush for it to pass the tests of the randomized clinical trial ( RCT ) and to potentially become a biopharmaceutical to counter the tuberculosis pandemic. I aim to tease out how the two sets of actors and their respective practices converge and diverge in their healing hopes and ways of managing uncertainty. Ultimately, I am interested in understanding how the preferred process of making medicine “work” by each set of actors relies upon particular ways of knowing and not knowing life, bringing some ontologies into being, letting others wither away. The shared ways of knowing life as a movement of opening at the edges of the RCT are proposed as paths of recognition between one and the other practice.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.009 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it