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Record W2980168129 · doi:10.19053/01233769.10137

“El que vende tierra, come tierra”: cambios y continuidades en las haciendas de la cuenca del río Amaime, Valle del Cauca, Colombia, siglo XIX

2019· article· es· W2980168129 on OpenAlexaff
Juan Martín Giraldo Hoyos

Bibliographic record

VenuePerspectiva geográfica · 2019
Typearticle
Languagees
FieldSocial Sciences
TopicHistory and Politics in Latin America
Canadian institutionsMcGill University
Fundersnot available
KeywordsHumanitiesGeographyPolitical scienceArt

Abstract

fetched live from OpenAlex

Este artículo explora las dinámicas de tenencia de la tierra y uso del suelo de las haciendas en el valle del río Cauca durante la segunda mitad del siglo XIX, con base en casos ubicados en la cuenca del río Amaime, tributario del Cauca. Con la intención de complejizar la narrativa de estancamiento productivo y espacial creada sobre esta región, acá se analizan las dinámicas de transformación espacial en determinadas haciendas, evidenciando así su sistemática mutación espacial y productiva durante el proceso histórico de liberalismo decimonónico. Para esto se consultaron diferentes fuentes documentales, incluyendo correspondencia, cartografía histórica y documentos notariales. El uso de un sistema de información geográfico histórico permitió georreferenciar datos notariales para el análisis y la visualización espacial de cambios en la tenencia de la tierra dentro de la ventana de estudio. Los casos de las haciendas La Concepción y La Torre demuestran, desde trayectorias diferentes, que a partir de la década de 1850 se dieron procesos significativos de reorientación productiva y diversificación social en el Valle.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.866
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.003
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.002

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 head0.007
GPT teacher head0.308
Teacher spread0.301 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2019
Admission routes1
Has abstractyes

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