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Record W2297972928 · doi:10.33137/rr.v36i2.20167

Terrors of Conscience: Thomas Nashe and the Interiorization of Presence

2013· article· fr· W2297972928 on OpenAlexvenueno aff
Mauricio Martı́nez

Bibliographic record

VenueRenaissance and Reformation · 2013
Typearticle
Languagefr
FieldArts and Humanities
TopicReformation and Early Modern Christianity
Canadian institutionsnot available
Fundersnot available
KeywordsConscienceHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Cet article se concentre sur une caractéristique principale du protestantisme populaire de Thomas Nashe : une attention sur les espaces intérieurs de l’armoire et de la chambre à coucher en tant que lieu privilégié de la réforme spirituelle de l’individu et de la communauté, à travers les mécanismes de la conscience qui troublent le chrétien au milieu de la nuit. Pierce Penniless, Christ’s Tears, et The Terrors of the Night sont considérés comme un seul projet englobant correspondant à une méditation approfondie sur les manifestations du péché et du jugement dans le spectre spatial allant de la nation et de la cité au repli intérieur dans le foyer et le soi. Nashe fait appel au goût avide des lecteurs anglais pour la théologie calviniste populaire, en empruntant sa terminologie de la conscience à Calvin et aux écrits très appréciés de dévotion populaire tels que John Norden and William Perkins. Tout en décrivant l’armoire et la chambre à coucher comme des espaces de peur, de désespoir, de mise en accusation et de poursuite devant le tribunal de Dieu, Nashe promeut néanmoins ces espaces privés en tant que sites privilégiés de la communion avec la présence divine. L’intériorisation de cette présence par Nashe peut donc s’observer comme une confiance grandissante par laquelle la théologie de la Réforme cherche à s’intégrer dans la conscience collective de l’Angleterre de la fin de la période élisabéthaine.

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)0.002
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 score0.025
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0090.027
Scholarly communication0.0050.004
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.016
GPT teacher head0.224
Teacher spread0.209 · 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

Citations1
Published2013
Admission routes1
Has abstractyes

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