Bibliographic record
Abstract
* The dataset shows estimates of the total population living in poverty. The data was allocated to mesozones by combining with a base mesozone layer. The estimate is a sum of income levels below the upper bound poverty line. In a report by Stats SA in which poverty trends between 2006 and 2011 are examined it is stated that: * Approximately a third (32,9%) of all households in South Africa were living below the upper bound poverty line. * The education level of the household head is closely related with levels of poverty - two thirds (65,0%) of households where the head had no formal education were poor as compared with only 2,8% of households where the head had a post-matric qualification. * Limpopo was the only province in which the majority (50,9%) of households were living in poverty - nevertheless, although Gauteng (16,2%) had the lowest incidence of poor households, the large number of households in the province meant that more than one in ten (12,8%) poor households in South Africa were found in Gauteng. * More than half (55,2%) of all households in rural areas were poor compared to approximately a quarter (22,0%) of households in urban areas.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.023 |
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; both teacher heads agree on what is shown here.
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".