Epistemologies of Resistance: Knowledge in the Peruvian Amazon
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
Epistemologies of resistance are knowledge frameworks that challenge oppressive structures and the ideologies that sustain them. In this paper, I analyze three weeks of ethnographic eldwork among the Asháninka of the Peruvian Amazon to demonstrate the ways in which the epistemologies that I encountered challenge oppressive structures and their underlying ideologies. My ndings consider the use of social and environmental context as epistemic indicators. I contrast these context-dependent epistemologies with the context-independent epistemologies that dominate contemporary “Western” thought, where the goal is to separate knowledge from context. I then consider how, as hybrid epistemologies that have emerged out of interaction and exchange in a globalized world, indigenous knowledge frameworks resist the notion of a binary di erence between indigenous and “Western” itself. These epistemologies of resistance critique the double binds created and sustained through the colonial model.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| 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