Globalisation, extremism and violence in poor countries
Bibliographic record
Abstract
Globalisation—understood as external and internal market liberalisation—generates conditions in poor countries that are conducive to the emergence of extremist movements, instability and conflict. Liberalisation and the accompanying requirement of macroeconomic stabilisation subject people to rapid and sometimes devastating changes in fortune. Yet globalisation has had vastly different effects in different countries. Many have succumbed to sporadic growth or stagnation, inequality and turmoil, whereas others have achieved a broadly based prosperity, peace and democracy. A comparison of two liberalising African cases—Egypt and Mauritius—is employed to explain this divergence in paths. Mauritius has so far deftly navigated the maelstrom of globalisation by achieving growth with considerable equity and genuine democracy, while Egypt has followed a path of belated and partial liberalisation, irregular growth, the rise of new inequalities and insecurities, repression and violent Islamist movements. The major reason for this divergence lies in certain contingent institutional and class processes.
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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 | 0.003 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".