Wind power to the people: overcoming legal, policy and social barriers to wind energy development in South Africa
Bibliographic record
Abstract
Wind energy project development in the Republic of South Africa has advanced rapidly following the issuance of a renewable energy feed-in tariff by the government in 2009. However, the legal, policy and social aspects of this technology are proving to be the most difficult obstacles for wind energy proponents to surmount. This article takes a close look at the energy history of South Africa, the realities policymakers face today, the shifting ethics of energy law and the actions of key stakeholders to date. The Draft Integrated Resource Plan (IRP2) has set firm targets for wind energy capacity development, but macro policy does not seem to properly integrate emerging norms in African energy governance. The IRP2 does recognize that social policy strategies need to be developed in order to make the wind energy sector flourish in South Africa, but little scope to any such strategy is given by this important policy document. A new relationship must be forged between industry, government and communities to help drive the rollout of wind energy in South Africa.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.011 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".