“A Mass Exodus in Rebellion” – The Migrant Caravans: A View from the Eyes of Honduran Journalist Inmer Gerardo Chévez
Bibliographic record
Abstract
This article analyzes the migrant caravans as a strategy of resistance to the war against migrants in transit to the United States, exacerbated during the pandemic. This is the edited transcript of an interview conducted with Honduran journalist Inmer Gerardo Chevez, correspondent of Radio Progreso. Having travelled the Central American and Mexican routes accompanying on foot the transit of thousands of migrants since 2018, Chevez is a notable eyewitness and expert in situ of the Caravans. The interview confirms that the caravan has become one of the premier forms in which Latin American migrants, including agricultural workers, struggle and their spatial dispute with the heterogeneous border control regime of the Americas are materialized. The text also reflects on the role that photography and critical journalism can play in the face of the contemporary anti-migrant policy turn. We conclude with an interpretation of the effects that the militarized violence against Latin American migrants in transit to the United States is having across the region.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.024 | 0.019 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| 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".