Bibliographic record
Abstract
We argue in this paper that electricity production needs to be multiplied by a large factor in the coming years for East Africa to reach the economic growth rate it deserves after the improvement of its socio-political situation. The rural electrification rate in North Africa as represented for instance by Morocco was higher than 99.50% in the first quarter of 2017 while it was barely 10% in some parts of Western Kenya. We also make the case for hydroelectricity as the adequate renewable source of energy, and more precisely minihydro as it preserves the environment and allows reaching remote regions with an optimal cost of financing. Some technicalities around run-off river hydro are presented as well as the limited risks at stake as water-at-risk, a concept we introduced in prior work, is a phenomenon that has been statistically document for millennia in the case of the Nile River, for centuries in the case of the other African rivers. Lastly, grid connections – existing and to come, large grids and mini grids - are discussed, and their crucial role in the joint development of farming, mining and industrial activities across the beautiful continent.
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.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".