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Record W2137378431 · doi:10.1504/ijeed.2009.029307

Foreign aid and child educational attainment in developing countries

2009· article· en· W2137378431 on OpenAlex
B. Mak Arvin, Byron Lew

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

VenueInternational Journal of Education Economics and Development · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Development and Aid
Canadian institutionsTrent University
Fundersnot available
KeywordsCausationCausality (physics)Developing countryEducational attainmentEconomicsDemographic economicsEconomic growthDevelopment economicsPublic economicsPolitical science

Abstract

fetched live from OpenAlex

The nature of the relationship between the provision of foreign aid to developing countries and the subsequent social and economic benefits experienced by them has long been debated. A small group of studies focus on the connection between aid and child school enrolment. However, these studies examine only the degree of correlation between the two variables, shedding little or no light on the direction of causation. Using the method of Granger causality, this paper extends our knowledge of the aid-education relationship by investigating whether foreign aid flows influence children's subsequent enrolment in school, whether prevailing school enrolments influence subsequent aid receipts, or whether causality proceeds in both directions simultaneously. Using data on OECD donors' provision of aid to developing countries, our results suggest that the aid-education relationship varies considerably across sub-samples defined according to recipient countries' geographic region.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.889
Threshold uncertainty score0.404

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.013
GPT teacher head0.295
Teacher spread0.282 · 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