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Record W205263088 · doi:10.22329/p.v4i1.611

Inter et Inter: A Report on the Metamorphosis of an Actress

2009· article· en· W205263088 on OpenAlexvenueno aff
Isobel Bowditch

Bibliographic record

VenuePhaenEx · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicKierkegaardian Philosophy and Influence
Canadian institutionsnot available
Fundersnot available
KeywordsMirroringLiteratureNewspaperOrder (exchange)MetamorphosisPhilosophyHistoryArtSociologyPsychologyMedia studiesSocial psychology

Abstract

fetched live from OpenAlex

In 1847, Johanne Luise Heiberg, a thirty-year old Danish actress and friend of Søren Kierkegaard, performed the role of Juliet in Shakespeare’s Romeo and Juliet in the Copenhagen theatre. She had played Juliet once before, aged 16, and it was this first performance which helped to launch her prestigious career. The 1847 performance prompted Kierkegaard to write an article for the newspaper Fædrelandet, called 'The Crisis and a Crisis in the Life of an Actress' under the name of Inter et Inter. Its publication contradicted Kierkegaard’s resolve to cease his literary authorship and to write directly under his own name as a religious author. This essay shows what was at stake for Kierkegaard in publishing 'The Crisis and a Crisis in the Life of an Actress' and its pivotal status for him both as a writer and a Christian. Both ‘crises’ of the title refer to a metamorphosis as a return to ‘the beginning’ effected through a series of elliptical characters: the actress, Juliet, Inter et Inter, Kierkegaard himself and the reader. Kierkegaard’s commentary on Frau Heiberg’s performance of Juliet brings together categories of repetition and anxiety in order to understand how “the metamorphosis of the actress” is effected as a return to the 'beginning', mirroring Kierkegaard's own transition from 'literary' to 'religious' writer and ultimately reflecting back on the reader’s own condition as existing individual.

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)0.005
metaresearch head score (Gemma)0.010
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: Other · Consensus signal: none
Teacher disagreement score0.027
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0230.008
Scholarly communication0.0080.005
Open science0.0020.014
Research integrity0.0040.012
Insufficient payload (model declined to judge)0.0070.002

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 head0.059
GPT teacher head0.281
Teacher spread0.221 · 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
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

Citations2
Published2009
Admission routes1
Has abstractyes

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