The political economy of regionalism: Regional integration arrangements and Africa's development. COMESA in a comparative context.
Bibliographic record
Abstract
This thesis adopts a comparative approach to examine the role of the Common Market for Eastern and Southern Africa (COMESA) in the promotion of socio-economic and political development in Eastern and Southern Africa. The thesis begins by providing a theoretical background to the concept of regionalism. It then traces the emergence of regionalism within the political economy of the international system, beginning from the era of mercantilism to the era of globalization. It then provides a critical overview of the European Union (the EU), the North American Free Trade Agreement (NAFTA), the Common Market of the Southern Cone (MERCOSUR) and the Association of South East Asian Nations (ASEAN) and analyses the achievements of these regional integration arrangements in so far as meeting the socio-economic and political development needs of their respective regions is concerned and builds the framework within which COMESA is compared vis-a-vis these regional integration arrangements. (Abstract shortened by UMI.)Dept. of History, Philosophy, and Political Science. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2005 .M66. Source: Masters Abstracts International, Volume: 44-03, page: 1217. Thesis (M.A.)--University of Windsor (Canada), 2005.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 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".