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Record W4401517045 · doi:10.29173/jjs135

Fiction Factory, Part 2

2024· article· en· W4401517045 on OpenAlexvenueno aff
Laurie Langbauer

Bibliographic record

VenueJournal of Juvenilia Studies · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicCrime and Detective Fiction Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFactory (object-oriented programming)Computer scienceArtProgramming language

Abstract

fetched live from OpenAlex

By the beginning of the twentieth century, young writers were part of an economic system that took youth as a commercial value—up-to-the-minute youth provided a fantasy that such new modes of publication seemed to advertise—while also making use of young writers glorying in such hype. Part One of these two essays explored this new character of young people’s writing to indicate an evolving understanding of the juvenile tradition. Young writers now asserted themselves as modern hacks, celebrating their proficiency in dime formulas. In surveying the literary nationalism encoded in dime formulas, Part One also explored how dime fiction kept alive a sense of perennial youth in part through youth’s recurrent and lasting association with the American character. Young writers working in dime formulas by necessity worked within these attitudes—and the baldness of dime formulas made obvious how these so-called “American” attitudes were ideological, encoding troubling assumptions when it came to race and imperialism, part of the manifest destiny and American exceptionalism that cheap print reflected. Part Two is about the afterlife of the dime novel—both in terms of how its formulas continued to haunt American letters, but also in terms of how ongoing literary-critical recovery of texts in the archive of the fiction factory have expanded possibilities for how to regard them. It concentrates on how ideological prescriptions continued to shape expectations, and to shape young writers’ work, in the early twentieth century—after the dime novel seemed to have waned in popularity. At the same time, it foregrounds how the critical afterlife that has sifted that archive informs an understanding of how to read this ongoing work.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.646
Threshold uncertainty score0.497

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.129
GPT teacher head0.334
Teacher spread0.205 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2024
Admission routes1
Has abstractyes

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