Marginalization and/or Participation: Africa in Today’s Global Economy
Bibliographic record
Abstract
It has become commonplace for international analysts, journalists and the internationally informed citizenry of Western countries to despair of place in the world and, in particular, place in the global economy. In 2000, economic analysts, primarily from the World Bank but also including some from the UN's Economic Commission for Africa and the independent African Economic Research Consortium (AERC), dared to ask: Can Africa Claim the 21st Century? While they laid out a formidable array of requirements that might make it possible to answer yes, they certainly did not answer no. mood since then has darkened. A recent cover story in Economist was headlined The Hopeless Continent. A panel / seminar at the University of Toronto's Munk Centre in 2001 asked: Any glimmers of hope for Africa? Serious diplomats describe the current so-called New Partnership for Development (NEPAD), formulated in haste and without prior consultation by a few of leaders over the course of the past year in order to elicit serious consideration of problems at the next G8 Summit, as Africa's last chance. AIDS pandemic makes present marginalization from the main currents of global human development look even more horrific. To put it mildly, it is not a time for cheery optimism.
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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 | 0.003 | 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 | 0.008 | 0.022 |
| Scholarly communication | 0.007 | 0.010 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.003 |
| 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".