External flows and inclusive human development in Sub-Saharan Africa
Bibliographic record
Abstract
The study assesses how external flows influence inclusive human development in Sub-Saharan Africa. The findings reveal that remittances and FDI increase inclusive development whereas foreign aid has the opposite effect. There are three other strands of findings. First, remittances are negatively associated with: 1) middle income countries compared to low income countries where the effect is not significant; 2) French civil law countries compared to English common law countries where the effect is positive; 3) resource-rich countries compared to their resource-poor counterparts where the effect is positive. Second, foreign aid is more negatively linked to low income, French civil law, Islam-dominated, un-landlocked, resource-rich and politically-unstable countries. Third, FDI is positively associated with: 1) low income, French civil law and landlocked countries compared to respectively middle income, English common law and un-landlocked countries where the effect is insignificant; 2) politically-stable countries compared to their politically-unstable counterparts where the effect is negative.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".