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Record W4206071866 · doi:10.51619/stk.v97i4.23716

"Ett löfte om lycka"

2022· article· en· W4206071866 on OpenAlexaff
Anna Sjöberg

Bibliographic record

VenueSvensk Teologisk Kvartalskrift · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicBiblical Studies and Interpretation
Canadian institutionsStantec (Canada)
Fundersnot available
KeywordsReading (process)Theme (computing)HonorFantasyPaintingVirtueSubject (documents)BeautyStatement (logic)Representation (politics)ArtLiteratureAestheticsPhilosophyArt historyTheologyEpistemologyLawComputer scienceLinguistics

Abstract

fetched live from OpenAlex

In this essay, I explore an innovative theme in the interfaces between theology, gender studies, aesthetic theory, and literary studies. More specifically, my aim is to shed light on fundamental theological conflicts underlying the immensely complex subject of the elevated status of "the beautiful woman" as image and idea in Western society. This will be implemented through a close reading of the influential short story of French nineteenth-century novelist Honoré de Balzac, Le Chef-d'œuvre inconnu (The Unknown Masterpiece), from 1831. By virtue of this theologically informed reading, important facets of modern Western society's fantasy of the beautiful woman come to the fore. The essay discloses how this fantasy has far-reaching tentacles and ramifications, by which the beautiful female becomes identified with beauty per se, with art, nature, the divine, and even with life itself. Balzac's short story presents the reader with a strong statement of the scopophilic tendency of Western visual arts, but in its final peripeteia it also provides us with the tools to bring forth a contrary reading, and a direct confrontation with the traditional understanding of the task of the painter.

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: Commentary · Consensus signal: none
Teacher disagreement score0.037
Threshold uncertainty score0.125

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.006
Scholarly communication0.0080.005
Open science0.0010.004
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0370.013

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 head0.028
GPT teacher head0.227
Teacher spread0.198 · 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
GenreCommentary

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
Published2022
Admission routes1
Has abstractyes

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