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Record W2743943140 · doi:10.14393/ufu.di.2013.06

Macondo, Melquíades e o problema da transculturação

2013· dissertation· pt· W2743943140 on OpenAlexaff
Fátima França

Bibliographic record

Venuenot available
Typedissertation
Languagept
FieldArts and Humanities
TopicMedieval Iberian Studies
Canadian institutionsMaple Leaf Foods
Fundersnot available
KeywordsPhysics

Abstract

fetched live from OpenAlex

La presente disertación de Maestría aborda aspectos sociales y culturales de la etnia gitana, representada por el personaje Melquíades, en la obra Cien años de soledad (2007) de Gabriel García Márquez. El estudio de la etnia gitana, del propio personaje Melquíades, de sus pergaminos sagrados que contienen el destino de la familia Buendía y la formación de la aldea de Macondo serán necesarios para examinar la manera como el proceso de transculturación ocurre en la obra del escritor colombiano. El objeto de la investigación está fundamentado en los estudios y en el concepto de transculturación de Ángel Rama, teórico uruguayo que aborda las cuestiones culturales de la narrativa Latino Americana. Partiendo de esa problemática, se destaca la manera como Gabriel García Márquez presenta a un gitano mítico, distante de los estereotipos difundidos por las imágenes negativas, creadas en el imaginario colectivo, sobre esta etnia. Melquíades contribuyó a la formación de Macondo esto se presenta en la obra de forma metafórica y alude a los problemas que constituyeron la historia y la cultura de América Latina, en especial de Colombia. Esta disertación observa la influencia del gitano Melquíades como responsable en rearticular la cultura de Macondo, con las contribuciones de la modernidad.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.424
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.1140.007

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 head0.053
GPT teacher head0.276
Teacher spread0.223 · 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 designQualitative
Domainnot available
GenreOther

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
Published2013
Admission routes1
Has abstractyes

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