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Record W1971229518 · doi:10.7202/031055ar

The Reconstruction of Rural Society in the Aftermath of the Mayan Rebellion of 1847

2006· article· en· W1971229518 on OpenAlexvenueno aff
Barbara Angel

Bibliographic record

VenueJournal of the Canadian Historical Association · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Studies in Latin America
Canadian institutionsnot available
Fundersnot available
KeywordsPeasantIndigenousGovernment (linguistics)State (computer science)CasteEthnologyCONQUESTPolitical scienceResistance (ecology)HistoryEmpireSpanish Civil WarPolitical economyGeographyDevelopment economicsAncient historySociologyLaw

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.337
Threshold uncertainty score0.961

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.006
GPT teacher head0.216
Teacher spread0.210 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2006
Admission routes1
Has abstractyes

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