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Record W3012452415 · doi:10.3138/ecf.32.3.485

<i>Reflections</i>

2020· article· en· W3012452415 on OpenAlexvenueno aff
Manushag N. Powell

Bibliographic record

VenueEighteenth-Century Fiction · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicFolklore, Mythology, and Literature Studies
Canadian institutionsnot available
Fundersnot available
KeywordsReverenceOperaGeorge (robot)PhenomenonLegendPower (physics)LiteratureMusicalArtAestheticsHistoryVisual artsArt historyPhilosophy

Abstract

fetched live from OpenAlex

A side effect of the tendency of eighteenth-century cultural studies to revert to the novel when looking for examples and exemplars is that cultural figures that fit poorly within the framework of domestic fictions can fall out of focus. The dragon is a thoroughly worthwhile case study of this phenomenon: while there is a large gap in the appearances of dragons in new fictions between the seventeenth and nineteenth centuries, the dragon itself was hardly forgotten by Britain, and it remained present in song, stage, and signage—particularly via the multicultural legend of St. George. The Dragon of Wantley, a 1737 musical travesty whose popu larity eclipsed even The Beggar’s Opera (1728), encapsulates much of what we can learn about English dragon culture: fondness, reverence, and fun combine in about equal parts in a work whose influence left an outsized claw-print stretching well into the nineteenth century. “Low” or folk registers should not deter us from study ing works that had real social power.

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 categoriesInsufficient payload (model declined to judge)
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 score0.977
Threshold uncertainty score0.999

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.035
GPT teacher head0.257
Teacher spread0.222 · 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.

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
Published2020
Admission routes1
Has abstractyes

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