Peasant women and the gendered inequalities in the industry of mining
Bibliographic record
Abstract
Abstract The mining industry in Peru - as well as in many resource-rich countries of the global South - is of great economic and social importance, particularly in remote regions where mineral deposits are often located. The academic literature has so far neglected analysing how women in these regions are affected by the industry. As such, it is relevant to study the gendered conflict surrounding the activity and invisibility of women in the mining industry, as well as their proposals, demands, and needs, with a focus on environmental and social concerns. This study analysed the experiences of peasant women from Peruvian Andes communities in environmental governance processes in mining contexts as they sought to exercise their citizenship within the mining industry and public spaces. Using a qualitative approach involving a focus group and panel discussions, the experiences and perceptions of the women who are part of the participatory environmental monitoring and surveillance committees (PEMSC) were considered. This paper highlights gendered inequalities concerning the benefits of mining, the process of change in the social dynamics of mining communities, and political claims for a better social arrangement, with social, political, economic, and ecological considerations from the women’s point of view.
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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 | 0.000 |
| Science and technology studies | 0.000 | 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 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".