A Comparative Analysis of the Mass Mobilizations of Tunisia, Egypt and Libya: What are the Implications for Sub-Saharan Africa?
Bibliographic record
Abstract
Recent political events in North Africa emerged to be one of the most interesting paradigm shifts for a region widely known for its tradition and culture deeply embedded across its governance architectures. Traditionally, this part of our world has been known for its Geo-strategic importance, its economics of oil, and its cultural tradition of Islam.Whilst Islam is the predominant religion, there are also fragments of Roman Catholics, Protestants, Jews, Coptic’s Eastern Orthodox, Druze and others. Yet, one of the most powerful models of political evolutions, one driven by non-violent- peaceful protest on one hand, and one by the strategic use of violence- emerged in the region as a historic anecdote in contemporary political thought. These models of political change could also be seen emerging across Sub-Saharan Africa.The paper approaches Tunisia, Egypt and Libya in North Africa with these comparative questions and objectives in mind. The central theme of the paper is to generate theoretical and practical inferences between the three North African countries, whilst looking at the origins/causes of mass mobilizations and its implication on politics and governance of Sub-Saharan Africa.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| 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".