Service provision for street-based traders in Pietermaritzburg, KwaZulu-Natal: comparing local findings to lessons drawn from Africa and Asia
Bibliographic record
Abstract
South Africa's informal economy absorbs approximately one-quarter of the labour force of 15 million people and is therefore the fastest growing sector of employment. Street-based trading constitutes a major subsector within the informal economy and is continuously expanding through unrelenting proliferation of survivalist micro-enterprises. However, few organisations that support enterprises are accessible or appropriate to survivalist and informal sector micro-enterprises. Interviews were conducted with 98 Pietermaritzburg street-based traders and ten KwaZulu-Natal service providers to determine service provision requirements. The results are compared with findings of four international studies. The findings suggest that for survivalist enterprises to benefit from entrepreneurial education and training services, obstacles with regard to South African traders' understanding of entrepreneurship and cultural limitations to enterprise growth should be overcome. Service institutions also require incentives to serve the informal sector, as well as the capacity to design and deliver appropriate services.
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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 | 0.001 | 0.005 |
| 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 | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".