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Record W4396705060 · doi:10.1080/00220388.2024.2345332

Savings Programmes and Food Security of Women and Their Children in Ethiopia

2024· article· en· W4396705060 on OpenAlex
Soyoon Weon, Marnie Davidson

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Journal of Development Studies · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMicrofinance and Financial Inclusion
Canadian institutionsGlobal Affairs Canada
Fundersnot available
KeywordsFood securityEconomic growthBusinessPolitical scienceEconomicsDevelopment economicsSocioeconomicsGeographyAgriculture

Abstract

fetched live from OpenAlex

Women in low and middle-income countries are particularly vulnerable to food insecurity. The non-profit humanitarian organisation CARE has implemented village savings and loan associations (VSLAs), funded by the Canadian International Development Agency, in many Sub-Saharan African countries to enhance women’s access to savings and credit and empower them to tackle the challenges of food insecurity. Despite the importance of this innovative programme, its effects on food security outcomes have not been thoroughly examined. This study examined whether women’s participation in VSLAs was associated with food security of women and their children. Using data collected by CARE involving 1,077 women and their children in Ethiopia, our findings showed that VSLA participation was significantly associated with a higher dietary diversity score among women. The findings also suggest that under certain conditions, VSLAs targeting women may positively influence food security of women and their children.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.555
Threshold uncertainty score0.250

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.237
Teacher spread0.214 · 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