Production of cement-tailings bricks with artisanal gold mining waste
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
Artisanal gold mining (AGM) in Suriname accounts for nearly half of the country's total gold exports but also leads to environmental issues, including landscape degradation and potential contamination from unmanaged mining waste. This study evaluates the feasibility of producing cement-tailings bricks using mining tailings from an AGM site in the Pamaka region as a sustainable construction material. The analyses included gold and mercury assessments, with concentrations of 0.03–0.10 mg/kg for mercury and 0.01–0.09 mg/kg for gold, indicating economic and environmental safety for reuse. Various mixture ratios of tailings with Ordinary Portland Cement were tested, resulting in bricks that meet international standards for non-loadbearing masonry units, with compressive strengths between 5.02 ± 3.76 and 13.3 ± 2.55 MPa and water absorption rates averaging 9.36 ± 11.2 %. This approach provides a dual benefit: reducing environmental degradation by repurposing waste and lowering construction material costs in remote areas. The initiative promotes a circular economy, supporting rural development and offering new income opportunities for local communities. • Cement-tailings bricks were produced using artisanal gold mining (AGM) waste. • Total mercury in samples was within safe environmental limits (0.03–0.10 mg/kg). • Waste samples presented no economically recoverable gold grades (0.01–0.09 mg/kg). • Produced bricks met international standards for non-loadbearing masonry units. • Reuse of AGM waste materials in remote areas may support a circular economy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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