Hearts of Courage, Faces of Peace: Rebuilding and Resistance in Post-Dictatorship Honduras
Bibliographic record
Abstract
This chapter explores and describes the complex tapestry of peace and the challenges that have emerged in Honduras following the era of dictatorship. It aims to shed light on the nation’s path towards the establishment of democratic institutions amid a backdrop of political and economic turmoil. The research is based on an investigative journey through Honduras, exploring four distinct regions, each with its unique story and struggle. In the Aguán Valley, the focus is on the community’s fight against extractive corporations, highlighting the campesinos’ defense of their land from the encroachment of palm oil magnates. The Island of Roatán offers insights into the Garifuna’s efforts to safeguard their territories from the ambitions of developers. Meanwhile, Choloma serves as a view into the textile workers’ challenges, encompassing their labor difficulties. Lastly, the capital city, Tegucigalpa, provides a stage for engaging with a beverage union, and discussions with the US and Canadian embassies and governmental representatives surrounding the Castro presidency and progress. Through this comprehensive examination, the chapter endeavors to present an overarching view of Honduras’ continued struggle for peace, sovereignty, and justice in the aftermath of dictatorial governance.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.015 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".