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Record W2808352107 · doi:10.14409/tb.v0i7.7361

Ensayos X. Poética–científica de Ezequiel Martínez Estrada

2018· article· es· W2808352107 on OpenAlexaff
Pablo Luzuriaga

Bibliographic record

VenueEl Taco en la Brea · 2018
Typearticle
Languagees
FieldArts and Humanities
TopicComparative Literary Analysis and Criticism
Canadian institutionsVanguard College
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

El ensayo a partir del cual E. Martínez Estrada se transforma en uno de los más importantes prosistas argentinos propone estudiar la historia y la cultura de su país a partir de una perspectiva metodológica que se define con la metáfora de una radiografía. Los rayos X prometen ver más allá de lo que se presenta frente a la retina. Nos encontramos ante una poética científica que desconfía de la observación y opta por el camino de la filología: leer al país como si fuese un texto escrito o un discurso que se oye. Pero la desconfianza que E. Martínez Estrada tiene sobre el sentido de la vista precede a Radiografía de la Pampa (1933). La semilla de esa sospecha germina en su obra poética temprana, en particular, en el camino que va del poemario Argentina (1927) a los dos volúmenes publicados en 1929: Títeres de pies ligeros y Humoresca. Entre ellos tiene lugar un punto de inflexión vanguardista que habilita, más tarde, la mirada de rayos X. Una perspectiva, la del radiólogo, que el autor argentino comparte con otras poéticas de la vanguardia que en los años veinte y treinta impugnaron al realismo ilustrado del siglo XIX.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.025
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.004
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0090.002

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 head0.015
GPT teacher head0.281
Teacher spread0.265 · 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 designNot applicable
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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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