Bibliographic record
Abstract
Examines the history of electricity provision in Africa and the effects of privatization and infrastructure changes in energy transformation, offering a critical window into development politics in African states. No country has managed to develop beyond a subsistence economy without ensuring at least minimum access to electricity for the majority of its population. Yet many sub-Saharan African countries struggle to meet demand. Why is this, and what can be done to reduce energy poverty and further Africa's development? Examining the politics and processes surrounding electricity infrastructure, provision and reform, the author provides an overview of historical andcontemporary debates about access in the sub-continent, and explores the shifting role and influence of national governments and of multilateral agencies in energy reform decisions. He describes a challenging political environment for electricity supply, with African governments becoming increasingly frustrated with the rules and the processes of multilateral donors. Civil society also began to question reform choices, and governments in turn looked to new development partners, such as China, to chart a fresh path of energy transformation. Drawing on over fifteen years of research on Uganda, which has one of the lowest levels of access to electricity in Africa and has struggled to construct several, large hydroelectric dams on the Nile, Gore argues that there is a critical need to recognize how the changing political and social context in African countries, and globally, has affected the capacity tofulfil national energy goals, minimize energy poverty and transform economies. Christopher Gore is Associate Professor, Department of Politics and Public Administration, Ryerson University, Toronto, Canada. OA EDITION This book has been made available as Open Access through the support of the Office of the Dean, Faculty of Arts, Ryerson University; Ryerson International; and the Department of Politics and Public Administration, Ryerson University.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.952 | 0.953 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".