Industrial Mining and Social Investment in Santurbán: Reflections from a Gender Decolonial Approach
Bibliographic record
Abstract
The Canadian extractive company, Greystar (currently known as Eco Oro), provides diverse training and consultancy programs for entrepreneur women, as part of their social responsibility policy. This article reflects on the human talent training experience offered by Greystar in the mining towns of Vetas and California, in Santander, Colombia, from a gender decolonial perspective, and a global understanding of social practices. We followed an interpretive qualitative approach for analyzing data collected from public-dissemination brochures regarding the outreach projects offered by the extractive company, and from semi-structured interviews carried out with the studied population. This article shows how these programs emphasize sexist stereotypes, promote a gender-specific division of labor, ignore the capacities and interests of the local women, and do not generate a positive impact on their socio-economic conditions.
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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 | 0.000 | 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".