Would halving unemployment contribute to improved household food security for men and women?
Bibliographic record
Abstract
abstract South Africa faces great challenges with extremely high unemployment and deep poverty. A large proportion of households are challenged to meet minimum required nutrition levels. In 2009, the HSRC prepared employment scenarios to see how unemployment might be reduced by 50% between 2004 and 2014, even in the context of the downturn. These scenarios consider what working people might earn in these different scenarios. There is a question as to whether wage income, even in a context of substantially reduced unemployment, would be sufficient to enable working households to achieve nutrition security by 2014. There are substantial differences in households led by men and women. Women have a more precarious foothold in the labour market, tending to be located in lower-paid sectors. The downturn has especially exacerbated this disadvantage, as proportionately more women became unemployed. The economic upturn has led to jobs being created for men, but continued job losses for women. This briefing conside...
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".