A Trade Union Approach to Climate Justice: The Campaign Strategy of the National Union of Metalworkers of South Africa
Bibliographic record
Abstract
<p>South Africa is the twelfth highest emitter of carbon emissions in the world. It has an energy intensity and per capita usage of fossil fuel energy that surpasses other countries in the BRICS, it is currently building one the largest coal-fired power stations in the world, and is championing a green neo-liberal approach to the climate change crisis. This article investigates how the National Union of Metal Workers of South Africa (NUMSA) developed an approach to climate justice and is intervening to shape policy around the just transition in South Africa. The article explores the factors that contributed to NUMSA’s embrace of a politics of climate justice, the internal education and policy capacity developed in the union and the campaigns championed to advance climate justice. The article provides insights into how NUMSA has campaigned around energy efficiency and electricity price increases, influenced and monitored the roll out of solar water geysers and has advanced a position on socially owned renewable energy.</p>
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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 | 0.004 | 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 | 0.012 | 0.005 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.007 |
| 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".