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Record W4313441757 · doi:10.1093/jeea/jvac070

Improving Parenting Practices for Early Child Development: Experimental Evidence from Rwanda

2022· article· en· W4313441757 on OpenAlexfundno aff
Patrícia Justino, Marinella Leone, Pierfrancesco Rolla, Monique Abimpaye, Caroline Dusabe, Marie Diane Uwamahoro, Richard Germond

Bibliographic record

VenueJournal of the European Economic Association · 2022
Typearticle
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsnot available
FundersGrand Challenges CanadaGovernment of the United KingdomForeign, Commonwealth and Development OfficeBritish AcademyUNICEF
KeywordsDisadvantagedPsychological interventionIntervention (counseling)MediationChild developmentDuration (music)Scale (ratio)Developmental psychologyPsychologyMedicineEconomic growthEconomicsNursingPolitical scienceGeography

Abstract

fetched live from OpenAlex

Abstract This paper investigates the short- and medium-term impact of a randomized group-based early child development program targeting parents of children aged 6–24 months in a poor, rural district of Rwanda. This low-intensity, short-duration, and low-cost program engaged parents through sessions that included a novel radio show and facilitated discussions during 17 weekly village-level meetings. The intervention included two treatment arms, with different components. Twelve months after baseline, children’s communication, problem-solving, and personal social skills improved in treated groups and persisted almost 3 years later in the full treatment arm. Positive effects on maternal time investments, attitudes, and beliefs, as well as investments in play resources, also persisted over time. A mediation analysis shows that the positive impact observed in child development can be attributed to positive changes in parental and home environment inputs, particularly in the longer term. This study offers important insights for the design and delivery at scale of early child development interventions among some of the most disadvantaged communities in the world.

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 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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.066
Threshold uncertainty score0.537

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 communication0.0000.001
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 head0.027
GPT teacher head0.271
Teacher spread0.244 · 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 teacher head, 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

Citations16
Published2022
Admission routes1
Has abstractyes

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