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The Spectrum of Fiction

2018· book· en· W2896909873 on OpenAlexaff
Gary Kelly

Bibliographic record

VenueOxford University Press eBooks · 2018
Typebook
Languageen
FieldArts and Humanities
TopicLiterature: history, themes, analysis
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsModernityPeriod (music)ExploitCitizenshipGovernment (linguistics)Capital (architecture)Identity (music)Late modernityMedia studiesSociologyHistoryPolitical scienceAestheticsArtSocial scienceLawVisual artsComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

The onset of modernity during the Romantic period created increasing demand for guides to, manuals for, and analyses of it. These were most accessible when fictionalized, and publishers and book-lenders hastened to exploit loosened copyright, technological innovation, inventive capital deployment, aggressive marketing/advertising, and new commercial–cultural institutions to meet and stimulate the demand. Writers devised new techniques for representing modernity’s central themes of self-reflexive personal identity, ‘pure’ relationships from intimacy through sociability to citizenship, new configurations of time and space, increased conditions of risk and trust, and expanding abstract systems from finance to government. Much of the fiction published in the period was first published earlier, but readers’ ability to read the old in new light prompted publishers to rework the old canon alongside the new. Though few works were republished beyond the period, the popular genres fashioned then founded ‘mass-market’ fiction much as we still know it.

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)0.001
metaresearch head score (Gemma)0.007
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 score0.031
Threshold uncertainty score0.103

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.004
Science and technology studies0.0050.010
Scholarly communication0.0120.009
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0310.008

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 head0.017
GPT teacher head0.172
Teacher spread0.155 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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