Interrogating the Dilemma of Foreign Aid as a Tool for Economic Development in Latin America in the 20th Century
Bibliographic record
Abstract
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 It was critically analysed employing the qualitative technique of content analysis of historical documents.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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.014 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".