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Los mayas del altiplano: supervivencia indígena en Chiapas y Guatemala

2002· article· es· W2045198126 on OpenAlexaff
W. George Lovell

Bibliographic record

VenueAnuario de Estudios Americanos · 2002
Typearticle
Languagees
FieldSocial Sciences
TopicIndigenous Cultures and Socio-Education
Canadian institutionsQueen's University
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

En el contexto americano, pocos grupos indígenas han demostrado la capacidad de sobrevivir a lo largo de la historia como los mayas del altiplano. Hoy día en Chiapas existen más de un millón de indígenas mayas, un número que asciende a cinco o seis millones en el caso de Guatemala. Los pueblos mayas han respondido a la invasión y a la dominación para conservar elementos importantes de su cultura. Este artículo discute las formas en que los mayas del altiplano se han adaptado para sobrevivir a casi cinco siglos de conquista, identificando tres fases claves en su trayectoria histórica: (1) la experiencia colonial, que abarca los años entre 1524 y 1821; (2) una época de reforma y revolución, que corre de 1821 a 1954; y (3) un período de marginalización y descuido desde 1954 en adelante. Pese al desfío, los mayas del altiplano están equipados culturalmente para perdurar.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.429
Threshold uncertainty score0.853

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.003
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.280
Teacher spread0.267 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations1
Published2002
Admission routes1
Has abstractyes

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