Globalisation, extremism and violence in poor countries
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it