Poverty, adaptation and vulnerability: An assessment of women's work in Ghana's artisanal gold mining sector
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
This paper contributes to the debate on the link between poverty and artisanal and small‐scale mining (ASM) – low‐tech, labour‐intensive mineral extraction and processing – in sub‐Saharan Africa. It specifically seeks to advance discussion on the idea that throughout the region, the sector's operators are trapped in a vicious cycle of poverty. Drawing on ongoing research being conducted on marginalised women engaged in ASM in Ghana, an attempt is made to further nuance the “poverty trap‐ASM” narrative. In the context of sub‐Saharan Africa, debates on this issue should focus on the challenges faced by marginalised groups such as women, in particular how their growing dependence on monies earned from the sector for their livelihoods has increased their vulnerability.
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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 | 0.000 | 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 it