The co-production of gendered livelihoods and seasonal livelihoods in the floodplains of the Peruvian Amazon
Bibliographic record
Abstract
Gender is poorly understood in rural Amazonia. There remains limited understanding of how livelihoods are gendered or how labour is divided within the household. In this paper, I offer a conceptual framework for understanding gendered division of labour and gendered livelihoods in rural Amazonia. I draw on ethnographic data collected in two riverine mestizo villages located on the floodplains of the Ucayali River, Peru. I disaggregate riverine agro-fishing livelihoods by introducing the gendered and seasonal divisions of livelihood activities, highlighting how gender roles and livelihood seasonality need to be understood as co-produced. I suggest that rather than the annual flood being a ‘miserable’ period as previously suggested in the literature, the flood season and flood recession represent two socially distinct periods, with livelihoods rotationally focused within and beyond the household respectively. Gendered livelihoods are further complicated by household composition and life-stage, with single-headed households, particularly female-headed households, often over-burdened with productive and reproductive labour. This paper begins a necessary conversation of gender and social difference in Peruvian Amazonia, while questioning the relationship between gendered livelihoods and seasonality.
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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 | 0.001 |
| 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".