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Record W4393961719 · doi:10.1515/9781782048350

Songs without Words

2016· book· en· W4393961719 on OpenAlexaboutno aff
Sandra Mangsen

Bibliographic record

VenueBoydell and Brewer eBooks · 2016
Typebook
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsComputer sciencePsychology

Abstract

fetched live from OpenAlex

Pathbreaking study of a vast and intriguing repertoire: arrangements for keyboard instruments of songs, arias, and other vocal pieces, from the age William Byrd to that of Handel. Keyboard arrangements of vocal music flourished in England between1560 and 1760. Songs without Words , by noted harpsichordist and early-music authority Sandra Mangsen, is the first in-depth study of this topic, uncovering abody of material that is remarkably varied, musically interesting, and indicative of major trends in musical and social life at the time. Mangsen's Songs without Words argues that the pieces upon which these keyboardarrangements were based constituted a shared repertoire, akin to the jazz standards of the twentieth century. In Restoration England, the ballad tradition saw tunes and texts move between oral, manuscript, and printed transmissionand from street to playhouse and back again. During the eighteenth century, printed keyboard arrangements were aimed particularly at female amateur keyboardists and helped opera to become a widely popular genre. Songs without Words considers a wide range of model pieces, including songs of many kinds and arias and other numbers from operas and oratorios. The resulting keyboard versions range from simple and pedagogically oriented to highly virtuosic. Two central issues -- the relationship between an arrangement and its model and the reception and aesthetics of arrangements -- are explored in the framing chapters. The result is a study that will be of great interest toscholars, performers, and anyone who loves the music of the late Renaissance, Baroque, and early Classic eras. Sandra Mangsen is professor emerita of music at the University of Western Ontario.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.661
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.024
GPT teacher head0.205
Teacher spread0.181 · 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 teacher head, not a consensus.

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
Published2016
Admission routes1
Has abstractyes

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