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Record W7095785493

Grandmothers and Granddaughters: Old-Age Pensions and Intrahousehold Allocation in

2015· article· en· W7095785493 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicPoverty, Education, and Child Welfare
Canadian institutionsnot available
Fundersnot available
KeywordsPensionSocial pensionCash transfersCashPer capitaSocial securityTransfer (computing)Developing countryQuarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

This article evaluates the impact of a large cash transfer program in South Africa on children’s nutritional status and investigates whether the gender of the recipient affects that impact. In the early 1990s the benefits and coverage of the South African social pension program were expanded for the black population. In 1993 the benefits were about twice the median per capita income in rural areas. More than a quarter of black South African children under age five live with a pension recipient. Estimates suggest that pensions received by women had a large impact on the anthropometric status (weight for height and height for age) of girls but little effect on that of boys. No simi-lar effect is found for pensions received by men. This suggests that the efficiency of public transfer programs may depend on the gender of the recipient. Cash transfers are still rare in developing economies. But they are being proposed more often by policymakers and academics as a viable way to redistribute resources. Proponents argue that improvements in the ability to handle cash transfers have made such transactions much easier to implement on a large scale—and less prone to corruption—than in-kind benefits (such as free health or education services).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.000

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.

Opus teacher head0.036
GPT teacher head0.285
Teacher spread0.249 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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