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From Biblical Book to Musical Megahit

2023· book· en· W4399090392 on OpenAlexaboutno aff
Juanita Karpf

Bibliographic record

VenueUniversity Press of Mississippi eBooks · 2023
Typebook
Languageen
FieldArts and Humanities
TopicBiblical Studies and Interpretation
Canadian institutionsnot available
Fundersnot available
KeywordsMusicalLiteratureArtHistoryLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

Many church goers will recognize the name, William Bradbury, a nineteenth-century American composer of popular hymns still sung at Sunday services. Bradbury’s name may also bring to mind Esther, the Beautiful Queen, his choral setting of a text based on the biblical Book of Esther. Written for amateur singers, the uncomplicated score became enormously popular almost immediately after its initial publication in 1856. In From Biblical Book to Musical Megahit: William B. Bradbury’s “Esther, the Beautiful Queen ,” Juanita Karpf traces the work’s rich performance and reception history. Bradbury emphatically stated that he intended Esther to be sung as an unadorned religious and educational piece. Yet many music directors exploited the potential for his score, producing elaborately staged events with costumes, scenery, and acting. Although directors retained Bradbury’s original music, they nonetheless facilitated Esther ’s rapid entrée into the realm of music theater. This stylistic transformation ignited a firestorm of controversy. Some clergy and religiously pious citizens condemned theatrical representations of biblical texts as the epitome of debauchery, sacrilege, and sin. In contrast, more tolerant and openminded theater enthusiasts welcomed the dramatic staging of Esther as wholesome entertainment and as evidence of a refreshingly enlightened approach to biblical interpretation. However heated this debate seemed at times, it did little to quell the continued rise in popularity of Esther. In fact, by the late 1860s, Bradbury’s score had worked its way across the continent, north to Canada and, eventually, overseas. With performances recorded over a century after Bradbury published his score, Esther became, by any measure, an international megahit.

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)0.000
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.098
Threshold uncertainty score0.329

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0040.002
Scholarly communication0.0060.003
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0980.029

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 head0.038
GPT teacher head0.217
Teacher spread0.179 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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