El Alivio de la deuda en Africa ¿hacia la reducción de la pobreza?
Bibliographic record
Abstract
En este artículo se estudian las oportunidades de reducción de la pobreza en África subsahariana surgidas a raíz de la reciente propuesta de condonación de deuda del G-7, del Banco Mundial y del Fondo Monetario Internacional, la llamada Iniciativa PPAE. En primer lugar se realiza un repaso histórico al proceso de endeudamiento africano a partir de las independencias en los años 60, señalando sus causas y analizando la estructura de la deuda. En segundo lugar, se analizan los términos de la Iniciativa, estudiando su planteamiento, implementación y estado de aplicación a fecha de junio de 2001. Finalmente se aportan elementos de crítica a la Iniciativa desde un enfoque de desarrollo humano, apuntando las limitaciones de ésta de cara a la reducción de la pobreza en África subsahariana
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".