Fridays of Revolution: Focal Days and Mass Protest in Egypt and Tunisia
Bibliographic record
Abstract
Focal days of protest are increasingly common to episodes of revolutionary mobilization. This paper explores the significance of focal days in patterning sustained protest in Egypt and Tunisia from 2011 to 2012. In Egypt, resource-poor activists exploited the confluence of worshippers on Fridays to mobilize mass transitory protest. This reliance on ritualized action hindered cross-sectoral coordination and meant mass protest often failed to inflict a direct economic cost. In Tunisia, there was no focal day of protest, in large part due to the coordinating hand of trade unions. In consequence, mass protest was more likely to span multiple sites, sectors, and tactics. These results suggest that oppositions can sustain mass mobilization even absent organizational capacity, but a reliance on a focal day limits the potential of protest over a political transition. Supplementary analyses point to the applicability of our findings to a number of other Arab Spring countries.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".