Bibliographic record
Abstract
This book explores the perplexing question of how to increase sustainable energy technology use in the developing world, and specifically focuses on two megacities within Latin America. Renewable Energy Uptake in Urban Latin America examines the market and uptake of two sustainable energy technologies (solar water heaters and biogas to produce electricity) in two locations, Mexico City, Mexico and São Paulo, Brazil in the 2000s. Drawing from three systems-based analytical frameworks – including one developed by the author for the purpose of this study – the book examines the varying factors affecting the implementation of renewable energy technologies (RETs) in urban Latin America. These frameworks emphasize the importance of examining socio-political dimensions; rather than conventional explanations that focus on technical and economic aspects only. By doing so, the research improves explanations about renewable energy technology (RET) adoption in the global South. These findings are useful for scholars, policy makers and practitioners working on RET adoption; resulting in a book which helps to inform wider debates regarding innovation, decarbonization, sustainability transitions and energy system change. This book will be of great interest to students and scholars of energy transitions, energy policy, development studies and science and technology studies.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".