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Record W3162923097

『길 위에서』 에 나타난 분열분석 카토그래피와 미학적 정치성

2015· article· ko· W3162923097 on OpenAlexaboutno aff
김순배

Bibliographic record

Venue미국소설 · 2015
Typearticle
Languageko
FieldArts and Humanities
TopicPoetry Analysis and Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsFormalityNarrativeParadisePoliticsAestheticsRepresentation (politics)Reflexive pronounStyle (visual arts)SociologyHistoryLiteratureAnthropologyArtPhilosophyLinguisticsArt historyLawPolitical science
DOInot available

Abstract

fetched live from OpenAlex

This essay investigates the stylistic and political characteristics of ontological connectivity in Jack Kerouac`s On the Road. Ontological connectivity of the text is unveiled through its distinctive narrative style and language in which interactive relationality of different beings is constantly deterritorialized or remapped. The exiled journey of Sal Paradise and Dean Moriarty along with the gang of madness indicates the constitutive process via excessive engagement and consumption with the relationship with others and capitalistic culture. The narratorial exile and cartographic mobilization are closely related to the life of the author as a vagabond who admitted himself to have francophone Canadian heritage though he was born to be an American in New England. Felix Guattari claims that the energetic engagement formulates the creatively assembled language of art which is not a representation or imitation of reality but a productive performance in and of itself. The French philosopher describes the American writer and his work as “the route of the American rhizome . . . successive lateral offshoots in immediate connection with an outside.” But I argue that their ontological mobilization is geared toward resisting fixed formality and hierarchization to concretize the ontological oneness beyond the locality of America, so as to virtually formulate and mediate new cartographies of the transnational and cosmopolitan space.

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), 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 score0.701
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0120.006

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 head0.077
GPT teacher head0.267
Teacher spread0.190 · 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
Published2015
Admission routes1
Has abstractyes

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