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Record W7094301618

Review of GERMÁN LABRADOR MÉNDEZ, <i>Letras arrebatadas: poesía y química en la Transición española</i>

2011· article· W7094301618 on OpenAlexaboutno aff

Bibliographic record

VenueInsecta mundi · 2011
Typearticle
Language
FieldArts and Humanities
TopicSpanish Culture and Identity
Canadian institutionsnot available
Fundersnot available
KeywordsCloisterDomain (mathematical analysis)Field (mathematics)Representation (politics)
DOInot available

Abstract

fetched live from OpenAlex

En este libro, Labrador Méndez analiza la literatura que se cultivó en España bajo la influencia de la droga durante la Transición, período que, desde una perspectiva amplia, el autor sitúa entre 1970 y 1986. En concreto, el volumen se enfoca en la poesía de esa época, considerándola como ejemplo de lo que Deleuze y Guattari denominan ‘literatura menor’, una literatura cuya enunciación se produce desde el margen en momentos de transformación sociopolítica para ‘convertirse en portavoz de un colectivo menor’ (27). Para Labrador Méndez, esta poesía ilustra el concepto de ars vitae, por el cual el poeta vampiriza el mundo y al mismo tiempo depende de él; así, la escritura se convierte en una actividad enfermiza a través de la cual la sangre del poeta se destila en tinta. El autor relaciona la actitud autodestructiva de estos poetas con un rechazo abierto a las estructuras de poder. De hecho, una de las tesis principales de Letras arrebatadas es que esta poesía drogada puede leerse desde una perspectiva política como un desenmascaramiento crítico de la Transición, como un espacio de resistencia. De esta manera, a través de las drogas los poetas muestran su voluntad de fugarse del momento histórico que repudian para instalarse en una temporalidad diferida y utópica.

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), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.708
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0370.001

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 head0.027
GPT teacher head0.233
Teacher spread0.206 · 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 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
Published2011
Admission routes1
Has abstractyes

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