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Record W4391395492 · doi:10.1515/9781571136961-fm

Frontmatter

2007· book-chapter· en· W4391395492 on OpenAlexaff
Arnd Böhm

Bibliographic record

VenueBoydell and Brewer eBooks · 2007
Typebook-chapter
Languageen
FieldArts and Humanities
TopicGerman Literature and Culture Studies
Canadian institutionsCarleton University
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Goethe has long been enshrined as the greatest German poet, but his admirers have always been uneasy with the idea that he did not produce a great epic poem. A master in all the other genres and modes, it has been felt, should have done so. Arnd Bohm proposes that Goethe did compose an epic poem, which has been hidden in plain view: Faust. Goethe saw that the Faust legends provided the stuff for a national epic: a German hero, a villain (Mephistopheles), a quest (to know all things), a sublime conflict (good versus evil), a love story (via Helen of Troy), and elasticity (all human knowledge could be accommodated by the plot). Bohm reveals the care with which Goethe draws upon such sources as Tasso, Ariosto, Dante, and Vergil. In the microcosm of the "Auerbachs Keller" episode Faust has the opportunity to find "what holds the world together in its essence" and to end his quest happily, but he fails. He forgets the future because he cannot remember what epic teaches. His course ends tragically, bringing him back to the origin of epic, as he replicates the Trojans' mistake of presuming to cheat the gods.

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: Other · Consensus signal: Other
Teacher disagreement score0.633
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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.211
Teacher spread0.176 · 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
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
Published2007
Admission routes1
Has abstractyes

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