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The Sublime as a Response to Terror: A Study of Empiricism and Transcendence in Gustavo Adolfo Bécquer’s “El monte de las ánimas”

2012· article· en· W393760563 on OpenAlexvenueno aff
Megan DeVirgilis

Bibliographic record

VenueEntrehojas Revista de Estudios Hispánicos · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicLiterature, Magical Realism, García Márquez
Canadian institutionsnot available
Fundersnot available
KeywordsSublimeEnlightenmentTranscendental numberTranscendence (philosophy)EmpiricismPhilosophyRomanceMetaphysicsNarrativeExpression (computer science)ModernitySubject (documents)HumanitiesEpistemologyLiteratureArtAesthetics

Abstract

fetched live from OpenAlex

This paper studies the relationship between 18th century Enlightenment philosophy and 19th century Romantic expression by relating the Burkean and Kantian conceptualizations of the sublime to Gustavo Adolfo Bécquer’s leyenda, “El monte de las ánimas.” Although Burke opts for an empirical approach while Kant takes a transcendental approach, both theories highlight the contradictory philosophical platform of the Enlightenment: individual>society. The shift in focus from the social to the individual is evidenced in 19th century literary production through Bécquer’s treatment of the relationship between the subject and the empirical and metaphysical worlds. In this paper, this relationship is studied through the representations of objects and sounds that are all used to inspire one sensation: terror. These representations convey the menacing aspects of nature, break the boundaries of time and space, and juxtapose reality and unreality. In this way, the analysis suggests that the narrative and descriptive techniques used to represent the terror experienced by the characters aim to inspire a similar effect on the reader, while also indicating that the philosophy of the Enlightenment provides the theoretical underpinnings for Romantic expression in the 19th century.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.758
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.026
GPT teacher head0.288
Teacher spread0.262 · 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
Published2012
Admission routes1
Has abstractyes

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