On Indigenous Politics and Political Revolution in Mexico and Beyond
Bibliographic record
Abstract
W hen I began the research project that became Soldiers, Saints and Shamans, I had two aims in mind.One was essentially political: to better understand why ethnic mobilizations and radical political movements have so often clashed, with important consequences for so many of the revolutions (and counter-revolutions) of the twentieth century.Studying the participation of the Wixrika (Huichol), Nayari (Cora), O'dam (Southern Tepehuan), and Mexicanero (Nahuatl-speaking) peoples of the Gran Nayar in the Mexican Revolution seemed to me to be an opportunity to shed further light on this complex issue, which seemed all the more relevant in the early 2010s as "identity politics" became increasingly important in the US and UK; as Berber, Tuareg, Druze and Kurdish minorities played key roles in uprisings in Libya, Mali and Syria; and Indigenous militia groups became prominent protagonists in Mexico's own, ongoing "Drug War" (
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".