Can we wash away love with bleach? Affect, gender, and agency in Western Amazonia
Bibliographic record
Abstract
Although some Kakataibo women say that their elders did not know romantic love and that they learned it only recently by going to the city, that romantic love is actually having a hard time taking root in Indigenous Amazonia. This article explores some aspects of affectivity based on Amazonian women’s discourses and experiences of love and conjugality. Using an analytical framework of the anthropology of affects, I argue that to understand Indigenous uneasiness about passionate love as a voluntary, sublimated, and symmetrical relationship, love needs to be approached in terms of control exerted by one person over another. The ethnography of sensible experiences related to love and desire, in which women often occupy the place of prey, sheds light not only on the relational dimension of the affect and on the feminine interpretation of a lived world permeated by power relations, but it also allows us to add some nuance to the Indigenous conception of gender and the underlying notion of agency.
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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 | 0.001 | 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 | 0.000 | 0.002 |
| 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 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".