Promoting environmental sustainability in the artisanal and small-scale mining sector in Tanzania
Bibliographic record
Abstract
This study examines the interaction between formalization of the artisanal and small-scale mining subsector and the regulation of negative environmental impacts in Tanzania. Formalization generally seeks to move the artisanal and small-scale mining subsector to legal status. Using documents, reviews, and interviews with key informants, the study suggests that there is generally no automatic connection between formalization of artisanal and small-scale mining and improvement of environmental protection in Tanzania. The reasons behind this situation include lack of funding, limited capacity, poor coordination, the nomadic nature of artisanal and small-scale mining operations, and using formalization as a revenue-increasing tool. To address this situation, we propose the formation of a well-funded umbrella body that only deals with the artisanal and small-scale mining subsector and formulation of an artisanal and small-scale mining-specific legal framework that delineates responsibilities of different artisanal and small-scale mining regulatory agencies to avoid overlaps and gaps. Moreover, the capacity of artisanal and small-scale mining associations should be strengthened to enable them to promote environmentally sustainable practices and engage meaningfully in stakeholder consultation meetings.
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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 | 0.001 |
| 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".