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Record W1573173049 · doi:10.14483/22486798.3221

El lenguaje y el discurso literario al servicio de la condena histórica

2009· article· es· W1573173049 on OpenAlexaff
Jannette Sánchez-Naranjo

Bibliographic record

VenueEnunciación · 2009
Typearticle
Languagees
FieldSocial Sciences
TopicHistorical Studies in Latin America
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

El lenguaje es una herramienta fundamental en la construcción del discurso histórico. En el caso de la conquista americana, este discurso comprende las voces de unos seres humanos que comparten no sólo su participación en el proceso de descubrimiento y conquista, sino internacionalidades semejantes semejantes a la hora de constrsus textos. Su reivindicación como sujetos del sidcurso hitoriográfico se alinea con una visión centralista del mundo: sus hazañas, no la sangre los justifican. Sin embargo, para aquellos como Lope de Aguirre, quienes plantean una forma de oposición a esa visión unificadora, el lenguaje se utiliza con toda su fuerza para acallar y resignificar su participación en la historia. Este trabajo busca mostrar cómo, en efecto, el discurso literario individualiza a Aguirre como un ser excepcional en el sentido de los monstruoso y violento en el ejercicio ilegítimo su poder. Su representación en el terreno de lo periférico y de la irracionalidad lo diferencia de los otros objetos del discurso, aquellos de origen indígena a quienes se les niega su alteridad desde el principio.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.862
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.009
GPT teacher head0.341
Teacher spread0.331 · 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.

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
Published2009
Admission routes1
Has abstractyes

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