US-Led Imperialism, Coups, and Post-Coup Authoritarian Neoliberalism in Brazil (2016–2022) and Egypt (2013–2024)
Bibliographic record
Abstract
While the literature on Cold War coups centered the US role in enabling and legitimizing the post-coup regimes, the literature on contemporary coups has focused on their domestic determinants. This article examines the US intervention in two contemporary coups: the 2013 Egyptian coup against Mohammad Mursi, and the 2016 Brazilian coup against Dilma Rousseff. Borrowing from Hanieh and Capasso and Kadri, it analyzes how US-led imperialism shaped the political economies of Latin America and the Middle East, ushering in the restitution of an authoritarian neoliberalism that excluded labor and social movements through constitutional, legal, economic, and coercive means and restored the power of the local actors aligned with US-led imperialism.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".