Gender Differentials in Household Structure and Socioeconomic Characteristics in South Africa
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study used the 2002 South Africa General Household Survey (GHS) to explore differentials in household structures and socioeconomic characteristics. Household structures by gender of head were examined to inform the types of household that females are more likely to head compared to males. The study found that females are more likely to form extended households than males. Household size in female headed households was also found to be larger than that in male headed households. The study utilized principal component analysis to estimate wealth of households. Wealth estimate results indicated that female headed households are poorer than male headed households. However, comparison between female headed households in urban areas and male headed households in rural areas indicated that the former were better off than the latter. The study recommends that governments should assist poor female headed households. Furthermore, the study cautions that generalization of poverty among female headed households should be avoided as it can mislead the policy formulation and subsequent interventions.
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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) | 0.001 | 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 it