Urban Sprawl and Land Cover in Post-apartheid Johannesburg and the Gauteng City-Region, 1990–2018
Bibliographic record
Abstract
Johannesburg and the broader Gauteng City-Region in which it is located are considered to be the economic powerhouse of South Africa. This has led to massive population growth in the region, as well as severe inequality. Given South Africa’s history of racially excluding black South Africans from urban areas, ongoing research in this area has to analyse land cover and define ‘sprawl’ in a context where the technical language has politically loaded overtones. This article tries to understand the scale of informality within a broader examination of urbanization and sprawl. It concludes that in the absence of a formally adopted urban edge and under massive pressure from population growth (natural and via migration), formal dwellings (residential and economic) have grown unchecked, and informality is now growing at high speed and also largely without regulation or control. With no apparent political will to stop urban sprawl, both informal and formal covers are steadily pushing towards provincial borders, while densifying in Johannesburg in particular.
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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 | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".