Bibliographic record
Abstract
Abstract In Argentina, tensions between the military and Indigenous People have been present since the formation of the nation-state in the late 19th century. During the so-called “Campañas al desierto” (Desert Campaigns), when the Argentine military occupied the northern and southern sovereign Indigenous territories, Indigenous Nations were seen as the main opponents to the military project of building a civilized nation. The confrontation between the military and Indigenous nations were seen as the main opponents to a civilized nation. Against analysis that regards relations between the military and Indigenous People as inherently violent, a new line in historiographical studies traces too the trajectories of Indigenous troops joining the military. The 19th-century relations between the military and Indigenous People were therefore more complex than an opposition between contrary nations. During the colonization of Indigenous lands in Pampa and Patagonia region to the south and in the Chaco region to the north west, Indigenous groups were both enemies and allies and necessary for the success of the nation-state’s advance. Within these alliances and relations of proximity, military officers produced a specific racialization of Indigenous bodies related to positive perceptions of them as strong and skillful soldiers. These sets of ideas, present in military memoirs in the 19th century, re-emerge in how Toba Indigenous men experience being racialized during the Mandatory Military Service in the mid- and late 20th century.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".