The Reconstruction of Rural Society in the Aftermath of the Mayan Rebellion of 1847
Bibliographic record
Abstract
In 1847, Mayan peasants under the leadership of their traditional caciques rose up against the creole authorities of the state of Yucatán. This rebellion, known to contemporaries and later historians as the Caste War, has been described as the most prolonged and bloody resistance on the part of an indigenous group in the Americas since the Spanish conquest. While the rebellion itself poses challenging questions regarding the nature of peasant involvement in movements for social change, this paper deals with the government's efforts to restore order in the countryside, and the response of the Mayan campesinos as they found themselves caught up in a struggle which they could not avoid. The study focuses on a specific region of the Yucatán peninsula, the Sierra or Puuc, which, because of its strategic location between the northwest region dominated by the government and the hinterland controlled by various rebel groups, played a pivotal role in the war. The paper assesses the results of the government's pacification policy, examines the question of migration and flight of refugees into zones of refuge, and discusses the survival strategies adopted by Mayan peasants in the communities of the Puuc. The study also addresses the role of non-combatants in guerrilla warfare, and their ambiguous relationship with both sides in the conflict, as potential allies or enemies.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.023 | 0.014 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".