Rehabilitating Guerillas in Neo-Extractivist Guatemala
Bibliographic record
Abstract
During Guatemala’s internal armed conflict (1960–1996), most local leaders in San Miguel Ixtahuacán, San Marcos, were “disappeared.” When, between 1995 and 1998, the church-led Recovery of Historical Memory Project (REHMI) was collecting testimonies from victims of the armed conflict, no one agreed to speak up. It is only since 2014, in the midst of growing local opposition to large-scale mining, that relatives of the “disappeared” have begun to narrate their experiences as victims of violence. In this chapter, I will examine how the recent “recovery” of historical memories of the brutal repression of local activism did not defeat but instead revitalized radical hope for a “just Guatemala” and in the process produced new conceptualizations of victimization and perpetration. How has public truth-telling contributed to this peculiar form of engagement? Despite a brutally crushed revolution, a failed democratic transition, and growing state-level corruption, anti-mining activists in San Miguel maintain faith in regaining the control of their lands and lives through their involvement in testimonial practices, formal politics, and legal action.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.006 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".