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Record W7015881756

Transforming Oratorio into Opera: The Conversion of James DeMars's Guadalupe, 2006-2015

2018· other· en· W7015881756 on OpenAlexfundno aff

Bibliographic record

VenueArizona State University Library Digital Repository (Arizona State University) · 2018
Typeother
Languageen
FieldArts and Humanities
TopicDiverse Musicological Studies
Canadian institutionsnot available
FundersYork UniversityArizona State UniversityBrigham Young UniversityUniversity of HoustonJohn F. Kennedy Center for the Performing Arts
KeywordsOperaOratorioLegendGeorge (robot)Italian operaChoir
DOInot available

Abstract

fetched live from OpenAlex

abstract: In 2006, composer James DeMars conceived of an opera when he began setting the Aztec legend known as Nican Mopohua, the “legend of Guadalupe.” Many inherent challenges arose as DeMars began to compose his first opera. His unfamiliarity with operatic writing and production, a preference for the aural elements of opera over visual ones, inexperience with dramatic textual writing, and insecurity in his ability to have it produced, encouraged him to detour from his operatic vision altogether and instead write an oratorio. Yet, his original operatic concept revealed itself through the music and text enough to encourage him and others to believe that his oratorio, Guadalupe: Our Lady of the Roses, could be produced on the operatic stage. Despite the oratorio’s success, DeMars persisted in realizing his original operatic vision and began the arduous task of rewriting his opera in 2012. To overcome the challenges, he relied heavily on the input of an “Operatic Advisory Council.” This group of dedicated colleagues and experts in the field of opera revealed to DeMars certain essential elements of opera that were absent from the oratorio, and through the course of three years advised and instructed the composer as he transformed his oratorio into an opera – something rarely attempted in the operatic repertoire. In this document, Chapter 1 discusses the formation of the Council, its members, and the expertise they offered. Chapter 2 presents the areas of concern the Council had during the process. Chapter 3 discusses the methods by which DeMars rectified the flaws in the oratorio’s visual aspects, the vocal writing, and the dramatic elements that needed attention. It also presents musical and textual examples of the adjustments and additions DeMars made during the transition, and discusses their effect on the opera’s staging, vocal writing and drama. The changes DeMars made under the guidance of the Operatic Advisory Council ultimately resulted in an operatic version of Guadalupe, which premiered at Arizona State University in November 2015.

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)0.001
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 score0.015
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.014
GPT teacher head0.162
Teacher spread0.148 · 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
Published2018
Admission routes1
Has abstractyes

Explore more

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