Challenges Posed on The New Mining Act and Its Regulations in Tanzania
Bibliographic record
Abstract
<p>This paper assesses the challenges that are posed to the new mining law and other Regulations that govern the mining sector in Tanzania. The main issues discussed in this paper include the conflicts between the local people and the mining companies regarding land ownership, compensation and forced eviction, conflicts between Small Scale Mining (SSM) and Large Scale Mining (LSM).</p><p>The findings obtained by the authors, intimates that the major problems in the mining sector are due to lack of law enforcement and good governance in the sector as well as lack of awareness of the laws governing the sector by the local communities.</p>Lastly, the authors concludes and recommend that, until and unless the laws are adhered to and kept into practice, the problems in the mining sector will not be easily resolved. Hence in order for the mining sector to benefit the indigenous and the investors, there should be enhancement of sustainable development;, people should be educated on the laws and the effects of mining on the environment and the relationship between SSM and LSM be improved.
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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".