Sustainable Development and Cleaner Technology in Brazilian Energy CDM Projects: Consideration of Risks
Bibliographic record
Abstract
ABSTRACT Given the international urgency of addressing climate change, this article evaluates the contribution of energy Clean Development Mechanism (CDM) projects for the generation of cleaner technologies and the promotion of sustainable development in Brazil. In order to do this, energy CDM projects representing the Brazilian context were selected and a multi-case study was conducted. The data collected were compared using a data triangulation technique and further analyzed in the light of an analysis model built on the following concepts: CDM project's cycle, technology transfer, environmental technologies, and sustainable development. The results demonstrate the prevalence of projects that: (a) use renewable energy sources and technologies that can be classified as cleaner, (b) have a triple bottom line profile with regard to sustainable development, and (c) show partially exogenous or predominantly endogenous technology transfer. General risk factors are presented and analyzed from a CDM project's life cycle's perspective. The results show that Brazilian energy CDM projects contribute to cleaner technology generation and to the promotion of triple bottom line (social, economic, and environmental) sustainable development.
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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 | 0.001 |
| 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".