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Record W2521475848 · doi:10.1093/wber/lhw042

Shoeing the Children: The Impact of the TOMS Shoe Donation Program in Rural El Salvador

2016· article· en· W2521475848 on OpenAlex
Bruce Wydick, Elizabeth Katz, Flor Calvo, Felipe Castro Gutiérrez, Brendan Janet

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.

Bibliographic record

VenueThe World Bank Economic Review · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicPoverty, Education, and Child Welfare
Canadian institutionsKellogg's (Canada)
Fundersnot available
KeywordsDonationAttendanceContext (archaeology)Test (biology)MedicineDemographyEnvironmental healthGerontologyPsychologyGeographyEconomic growthEconomics

Abstract

fetched live from OpenAlex

We carry out a cluster-randomized trial among 1,578 children from 979 households in rural El Salvador to test the impacts of TOMS shoe donations on children's time allocation, school attendance, health, self-esteem, and aid dependency. Results indicate high levels of usage and approval of the shoes by children in the treatment group, and time diaries show modest evidence that the donated shoes allocated children's time toward outdoor activities. Difference-in-difference and ANCOVA estimates find generally insignificant impacts on overall health, foot health, and self-esteem but small positive impacts on school attendance for boys. Children receiving the shoes were significantly more likely to state that outsiders should provide for the needs of their family. Thus, in a context where most children already own at least one pair of shoes, the overall impact of the shoe donation program appears to be negligible, illustrating the importance of more careful targeting of in-kind donation programs.

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 score0.761
Threshold uncertainty score0.828

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.319
Teacher spread0.305 · 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