MétaCan
Menu
Back to cohort
Record W1580976786

“Who Was Then the Gentleman?” : Devil, Faustus or God1? Marlowe’s “Mighty Line”2 and the Devils’ Craft

2015· article· en· W1580976786 on OpenAlexvenueno aff
Jiangyue Chen

Bibliographic record

VenueStudies in literature and language · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsnot available
Fundersnot available
KeywordsTemptationBattleChristianityIgnorancePhilosophyLiteratureCraftMistakeThe RenaissanceArtHistoryTheologyArt historyEpistemologyLawAncient historyVisual arts
DOInot available

Abstract

fetched live from OpenAlex

As a new born of the Renaissance, like many his peers, Faustus craves for classical knowledge while thinking less of Christianity. He changes from an innocent mistaker to a grievous sinner, however, at the start he is not a sinner, and what he requires is not overdone. His two weak points – the ignorance of Christianity and the extreme desire of knowledge—are grasped by devils to choose him as the victim of temptation, as well as the breakthrough to take down the whole Wittenberg. In fact, he is tempted by devils step by step from mistake to sin, and also turns the whole city into a desire swelling hell. The result is not only of Faustus and the devils’ effort, but God’s absence in the play as well. In this battle with God, devils do far more things than God, both mentally and materially, which lead to Faustus’s suspicion and despair of God so that the devils finally win.

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)0.003
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: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.022
Scholarly communication0.0040.004
Open science0.0000.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.001

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 head0.054
GPT teacher head0.293
Teacher spread0.239 · 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
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
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueStudies in literature and languageSame topicMedieval Literature and HistoryFrench-language works237,207