Ghostly evidence: Official and structural registers of voice, veracity, avarice, and violence in the "Rigoberta Menchú controversy"
Bibliographic record
Abstract
The author traces the "ghostly evidence" and official and structural registers of voice underlying the "Rigoberta Menchú" controversy, locating them in select recently declassified documents of the U.S. policy in Guatemala as evidenced in the Guatemalan Documentation Project and other files in the U.S. National Security Archives. The author situates her textual analysis of these official documents within their historical, political, material, and structural (e.g., economic, institutional, and transnational) contexts. She argues and provides evidence for an alternative way to read the controversy as an official attempt to alter the common sense of the wider public about official U.S. policy in Guatemala during the height of the state-sponsored terror and counter-insurgence. The article raises fundamental questions about the implications for democracy in Guatemala and the United States.
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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 | 0.009 | 0.051 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.020 | 0.048 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.003 | 0.004 |
| 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".