Widows’ Land Security in the Era of HIV/AIDS: Panel Survey Evidence from Zambia
Bibliographic record
Abstract
In areas of Africa hard hit by HIV/AIDS, there are growing concerns that many women lose access to land after the death of their husbands. However, there remains a dearth of quantitative evidence on the proportion of widows who lose access to their deceased husband's land, whether they lose all or part of that land, and whether there are factors specific to the widow, her family, or the broader community that influence her ability to maintain rights to land. This study examines these issues using average treatment effects models with propensity score matching applied to a nationally representative panel data of 5,342 rural households surveyed in 2001 and 2004. Results are highly variable, with roughly a third of households incurring the death of a male household head controlling less than 50% of the land they had prior to their husband's death, while over a quarter actually controlled as much or even more land than while their husbands were alive. Widows who were in relatively wealthy households prior to their husband's death lose proportionately more land than widows in households that were relatively poor. Older widows and widows related to the local headman enjoy greater land security. Women in matrilineal inheritance areas were no less likely to lose land than women in patrilineal areas.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".