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Record W4236073456 · doi:10.1525/ncm.2017.40.3.283

Versioning Strauss

2017· article· en· W4236073456 on OpenAlexaff
Laura Tunbridge

Bibliographic record

Venue19th-Century Music · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsCollège Lionel Groulx
Fundersnot available
KeywordsMusicalLiteratureRomanceOperaStyle (visual arts)ArtPianoContext (archaeology)PoetryHistoryArt history

Abstract

fetched live from OpenAlex

Strauss's song “Frühlingsfeier,” op. 56, no. 5, was originally composed for voice and piano in 1906 and orchestrated in 1933. Its choice of poet—Heinrich Heine—–is unusual in the context of the literary trends and political attitudes in Germany at the contemporaneous moments. “Frühlingsfeier” resembles Strauss's opera Salome in subject matter: female grief for a beautiful man. The corybantic musical style of Strauss's setting is emphasized in its orchestral version, which was intended for the soprano Viorica Ursuleac, who recorded it in 1936. Strauss's stature as a Lieder composer—despite the popularity of many of his songs—has often been queried. However, what seems on the surface to be a continuation of the late-Romantic tradition is subtly inflected by his poetic decisions and by musical renderings that need to be understood as part of a flexible continuum between versions of the song. Past and present are of less concern than being able to move fluidly between past, present, and future. Such movement opens up the possibility of a less rigid interpretation of Strauss's historical standing that allows his songs to be considered as other than simply regressive.

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)0.002
metaresearch head score (Gemma)0.006
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 score0.020
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0040.004
Scholarly communication0.0040.003
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0200.009

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 head0.064
GPT teacher head0.244
Teacher spread0.180 · 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
Published2017
Admission routes1
Has abstractyes

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