Post-Coup Honduras: Latin America’s Corridor of Reaction
Bibliographic record
Abstract
Abstract This article offers an historical-materialist account of the coup in Honduras on 28 June 2009, which ousted democratically elected President Manuel Zelaya. It draws on over two dozen interviews with members of theFrente Nacional de la Resistencia Popular[National Front of Popular Resistance, FNRP], and participation in numerous marches and assemblies over two periods of fieldwork – January 2010, and June–July 2011. The paper steps back in time to provide an historical cartography of the basic material structures of the Honduran economy and its integration into the world market, as well as the geopolitical role it played as a launching pad for Ronald Reagan’s counter-insurgency campaigns against guerrilla forces elsewhere in the region during the 1980s. We show how the defeat of mass guerrilla insurgencies in Guatemala and El Salvador, as well as the triumph over the Sandinista government in Nicaragua by 1990, allowed for the neoliberal pacification of Central America as a whole, including Honduras. We further demonstrate how the centre-leftist Manuel Zelaya, elected to the Honduran presidency in 2006, modestly encroached upon neoliberal orthodoxy and forged geopolitical alliances with left and centre-left governments elsewhere in the region, laying the bases for his violent overthrow. Finally, the paper traces the origins, trajectory, and heterogeneity of the resistance that emerged almost immediately after the coup had been carried out.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".