A Sustainable Approach to the Harmonization of Electric Power Availability with the Mining Industry in Africa: a Case Study of Mozambique
Bibliographic record
Abstract
It remains for a sustainability study to consider how to meet social needs for energy services in the realization of sustainable development, because globally about 2 billion people still have no acess to modern energy. It is therefore necessary to draw attention to energy access - w million deaths annually are associated with the indoor burning of solid fuels. Energy-supply infrastructure globally needs a cumulative investment of US$25.6 trillion for the period 2008-2030, and African portion of this investment is estimated at US$454 billion. Power generation that is dependent on the mining industry seems to be a worthwhile subject for considering the combination of energy availability with national development, so this strategy is discussed, with the focus on a case study of Mozambique: it can be estimated that self-supply system in the mining industry actually export a certain amount of power to national and regional markets, and they may be an opportunity to generate low-cost power through the use of discard coal from coking coal export operations. However, Mozambique should prevent discard coal from becoming a hazardosu load; mercury is on of the most toxic element in coal and its by-products. Political strategies that solove a socio-economic problem but cause an eneviornmental one should be avoided if sustainable development is to be properly realized.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".