The National School Nutrition Programme and its affects on schooling for farm workers in South Africa : -An investigation of two generations living and working on wine farms in the rural areas of Western Cape
Bibliographic record
Abstract
In this thesis, I study the effects of the National School Nutrition Programme (NSNP) on the rural areas of Western Cape, South Africa. More precisely I try to find out how the NSNP has affected the families in this rural area and what attitudes that can be found among the two generations of people living and working on wine farms. The reason for this investigation is that NSNP was set up to increase school attendance among children living in an exposed socioeconomic environment, and I wanted to see how much the NSNP affect people’s daily life, with focus on the ones living on/near wine farms in the more rural areas in Western Cape since these areas holds socioeconomic groups that are exposed in the society. To answer the research questions, I conducted several interviews with both wine farm workers and pupils living on/near a wine farm. But oral history is more than a method! I wanted to look upon the history from a grassroots perspective with a special focus on the working class, ethnic minorities and women´s part in the history. My theory is based upon the terms Welfare and Social inequality. These two perspectives describe access to labor market, poverty, education and income support. These aspects highlight different forms of social exclusion which wine farm workers and pupils living on/near wine farm lives in. With these methods I found out that the NSNP plays a crucial part in the lives of those who lives in the rural areas of Western Cape. Many pupils go to school just because their parents want it due to lack of food at home. The government’s purpose of the NSNP, to increase the school attendance can be seen in the answers giving to me during interviews with wine farm workers.
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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 | 0.000 |
| 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".