Bibliographic record
Abstract
Abstract In Amazonia most indigenous horticulturists prefer to cultivate the more toxic forms of manioc as a staple crop, despite the increased processing required to render them safe for consumption. This phenomenon has long intrigued anthropologists. In this chapter we describe the agricultural practices of the Tukanoan Indians in the North-west Amazon and explore their reliance on toxic varieties of manioc from agronomic, ecological, organoleptic, and ethnographic perspectives. Our findings indicate that the puzzling preference for a toxic staple crop may be explained by the higher yields produced by the more toxic forms, and also that the most salient factor in variety selection by Tukanoan women is the food into which the roots will be made. This suggests a multifaceted explanation. Moreover, we propose that present-day lack of concern about yield is a recent luxury due to artificial selection of sufficiently high-yielding manioc varieties during the development of this crop.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".