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The Subjective Turn

2018· book· en· W2896465565 on OpenAlexaff
Thomas Keymer

Bibliographic record

VenueOxford University Press eBooks · 2018
Typebook
Languageen
FieldArts and Humanities
TopicLiterature: history, themes, analysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSubjectivityUnconscious mindRomanceModernityPerceptionRomanticismAestheticsPersonal identityIdentity (music)BiographyEpistemologyPhilosophyPsychoanalysisSociologyPsychologyLiteratureSelfArt

Abstract

fetched live from OpenAlex

Central to Charles Taylor’s account of secular modernity, in which divinely guaranteed truth gives way to the personal and human, is ‘the massive subjective turn … in which we come to think of ourselves as beings with inner depths’. This chapter approaches the ‘subjective turn’ of Romantic literature by way of its philosophical and literary antecedents in the eighteenth century, emphasizing the instability or inscrutability of personal identity as conceived in Hume, Sterne, and the emergent genre of autobiography. The most powerful autobiographies of the Romantic era—if we include such generically complex cases as The Prelude and Biographia Literaria—inherit and develop a Shandean sense of the problematics of their own enterprise. Yet their fascination with the processes of cognition, and more broadly with mental operations, conscious or unconscious, also bears the mark of more recent psychological discourses; they articulate a new sense of subjectivity as constituted by the creative perceptual activity of imagination.

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)0.003
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 score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.026
Scholarly communication0.0100.009
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0100.002

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 head0.018
GPT teacher head0.177
Teacher spread0.159 · 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".

Quick stats

Citations13
Published2018
Admission routes1
Has abstractyes

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