Cutting Through Topologies: Crossing Lines at the School of the Americas
Bibliographic record
Abstract
Abstract: The School of the Americas (SOA) is a U.S. Army school that trains Latin American military officers. Manuals released detail torture techniques once taught at the school, and thousands of graduates have been linked to human rights abuses. The annual vigil in front of Fort Benning is the largest ongoing protest and civil disobedience against U.S. imperialism being held within the U.S. The movement to close the SOA traces the twisted lines of the topology that shapes spaces of exception in Latin America. It traces those lines back to the SOA, and cuts through them with its own counter‐topographical lines of connection to those Latin Americans that are made into ‘bare life’ by those topologies. This essay looks at the doings of protest space as a form of resistance to the space of exception, and how personal stories, and mourning, can put us beside ourselves, with one another.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.032 | 0.032 |
| Scholarly communication | 0.014 | 0.010 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.010 | 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".