Planting and Nurturing the Seeds of Equity in Africa
Bibliographic record
Abstract
Sub-Saharan Africa has made a number of important improvements in the 15 years since the turn of the 20th century. GDP growth has accelerated after two and a half decades of stagnation, agricultural output has risen in some countries after a protracted decline, and internal and external macroeconomic equilibrium has been restored in much of the region. In addition, although difficult to define, democratic rule has spread across the region and, even more important, the number of conflicts was halved, although new episodes linked to violent extremism are occurring. The incidence of HIV/AIDS and its destabilising impact have declined slowly since the mid-2000s as a result of more extensive awareness campaigns and the increased supply of antiretrovirals. These and other health interventions, including action on malaria control, have led to a very rapid decline in the under-5 mortality rate (U5MR) and some improvements in overall health conditions. This has led to increased life expectancy at birth to 60 years for the region as a whole. Several other MDG targets were met, although less progress was achieved in reducing child malnutrition and maternal mortality. Furthermore, with the development of highly divisible technologies, the region has begun to catch up with other developing regions in the field of communications, internet banking, marketing and services. Finally, central to the topic of this book, over the last 20 years, inequality declined in more than half of the countries in sub-Saharan Africa. At the same time, several Asian countries (e.g. Bangladesh, China, Indonesia, Nepal and Sri Lanka), some economies in transition (Bosnia and Herzegovina, Georgia and Montenegro) and OECD countries (Australia, Canada, France and United States of America) experienced an upturn in inequality.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.009 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".