MétaCan
Menu
Back to cohort

Interrogating the Dilemma of Foreign Aid as a Tool for Economic Development in Latin America in the 20th Century

2018· article· en· W2911382555 on OpenAlexaboutno aff
Johnson Olaosebikan Aremu

Bibliographic record

VenueHumanities and Social Sciences Letters · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Development and Aid
Canadian institutionsnot available
Fundersnot available
KeywordsLatin AmericansDilemmaPovertyLanguage changePopulationPolitical scienceEconomic growthDevelopment economicsFunctional illiteracyStandard of livingForeign policySustainable developmentPoliticsEconomicsSociologyLaw

Abstract

fetched live from OpenAlex

The paper examines the dilemma of foreign aid as an invaluable tool for the economic development of Latin American region up till the 1990s. The study employed the narrative and analytical historical methods of research and analysis. Data was generated through library search. It was critically analysed employing the qualitative technique of content analysis of historical documents. The study notes that some advanced countries like USA, Canada, and Australia pumped and has still been pumping vast amount of money as aid to the region since the 1930s. Some goals of the aid regime were to: stimulate improved standard of living of citizens of Latin American states; alleviate poverty; promote rural infrastructural development and; enhance economic growth and sustainable development. Ironically, however, the paper records that all the Latin American states had to show for the huge inflow of foreign aid have been unparalleled level of corruption; huge foreign debt profile, significant level of illiteracy; political instability; incessant regime change; endemic conflicts; low level of domestic savings and significant impoverishment of women population, among others, with the possible exception to Cuba. It concludes that leaders of Latin American states should institute economic policies that are domestic-savings dependent and shun corruption to ostensibly promote sustainable development in the nearest future.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.511
Threshold uncertainty score0.872

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 studies0.0010.001
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 head0.055
GPT teacher head0.296
Teacher spread0.241 · 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 designQualitative
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

Citations2
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueHumanities and Social Sciences LettersSame topicInternational Development and AidFrench-language works237,207