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Record W144831378

Leriano's Suffering Subjectivity; or, the Politics of Sentimentality in "Cárcel de amor"

2008· article· es· W144831378 on OpenAlexvenueno aff
Sanda Munjic

Bibliographic record

VenueRevista Canadiense de Estudios Hispánicos · 2008
Typearticle
Languagees
FieldArts and Humanities
TopicEarly Modern Spanish Literature
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesSubjectivityPhilosophyArt
DOInot available

Abstract

fetched live from OpenAlex

Se estudia en este art?culo la representaci?n del amor como sufrimiento en C?r cel de amor, con referencia al Serm?n' de Diego de San Pedro. Tal concepto de amor viene construido en la cultura occidental desde la antig?edad cl?sica en los escritos literarios, filos?ficos, m?dicos y teol?gicos. Para analizar esta noci?n de amor propongo el concepto de la subjetividad, que incluye dos manifestaciones hist?ricas: (i) la erotomania, la premoderna noci?n patol?gica de amor, o su forma est?tica, el amor cort?s; y (2) la invenci?n decimon?nica de la perversi?n del masoquismo. Al identificar los paralelos entre erotomania y/o amor cort?s con el masoquismo se analiza la performance de sufrimiento de Le riano, el protagonista de C?rcel de amor. El masoquista Leriano dramatiza su pasi?n de acuerdo con uno de los modelos dominantes de masculinidad medie val. Este modelo de la sufriente subjetividad masculina, difundido en el medioe vo principalmente en la l?rica amorosa, celebra los comportamientos que en la sociedad medieval tienen connotaci?n de nobleza, pero que desmienten la defi nici?n clara de los g?neros. Se demuestra c?mo el masoquista, adoptando la pose de v?ctima, ocupa el territorio de la subjetividad masculina y femenina, y as? ejerce control de una manera velada sobre el sujeto femenino.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.872
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.024
GPT teacher head0.238
Teacher spread0.214 · 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 designTheoretical or conceptual
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
Published2008
Admission routes1
Has abstractyes

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