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Record W330276444

(In) Habitation: Musical Settings of Margaret Atwood Poetry by American Women Composers

2011· article· en· W330276444 on OpenAlexaboutno aff
Gregory Berg

Bibliographic record

VenueJournal of Singing · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicUtopian, Dystopian, and Speculative Fiction
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryMusicalPianoArtLiteratureLyricsVisual artsArt historyChoirHistory
DOInot available

Abstract

fetched live from OpenAlex

(In) Habitation: Musical Settings of Margaret Atwood Poetry by American Women Composers. Eileen Strempel, soprano; Sylvie Beaudette, piano. (Centaur CRC 3002; 63:29). Judith Cloud: Dreams: Night Poem, Siren Song, Variations on the Word Sleep, Flying Inside Your Own Body. Elisenda Fabregas: Moments of Change: Moment, Habitation, More and More, is Dangerous to Read Newspapers, Late Night. Lori Laitman: Orange Afternoon Lover: Against Still Life, I Was Reading a Scientific Journal, I Am Sitting On the Edge. Tania Leon: Atwood Songs: Notes Towards a Poem That Can Never be Written, Memory, Eating Fire, Habitation, Four Evasions. Amanda Harberg: Memory (Midnight Songs). Libby Larsen: Take. This recording represents one of the most auspicious art song projects of the new century, and one would never guess that it began under such simple and even sweet circumstances. In 2004, Canadian novelist and poet Margaret Atwood was invited to Syracuse University at the invitation of a selection committee that included Eileen Strempel, an associate professor of art and music there and an active soprano highly regarded as an interpreter of modern art song. In anticipation of the award-winning writer's visit, Strempel read a great deal of Atwood's work and sought out whatever musical settings of her texts she could find. Regrettably, there turned out to be startlingly few of them, which inspired Strempel to pursue what ultimately became known as the Atwood Project. With the writer's enthusiastic blessing, six composers were commissioned to set texts of their own choosing to music. In part to commemorate the thirtieth anniversary of the National Women's History Project, all six composers approached for the project were women: Judith Cloud, Elisenda Fabregas, Amanda Harberg, Lori Laitman, Libby Larsen, and Tania Leon. Three years later, Eileen Strempel and her long-time collaborator Sylvie Beaudette premiered these nineteen songs in what had to have been an evening of remarkable excitement, with Ms. Atwood and four of the six composers in attendance. Needless to say, most of us were not there, but this recording is an attempt to convey what it would have felt like to be in the audience that night to hear these striking songs unveiled for the very first time. Margaret Atwood's work has garnered widespread acclaim for its bold, incisive exploration of the human experience, the rich vividness of her verbal palette, and the restless inventiveness of her craftsmanship. Still, it is probably not an accident that her texts have found rather limited musical life, for they are likely to be as intimidating as they are inspiring to would-be composers. Her poems tend not to flow sweetly and predictably, and many of them are so potent on their own that one has to wonder whether setting them to music can be anything but a distraction from or a reduction in their impact. It is a tribute to these six composers that they undertook the challenge and managed to create unfailingly compelling songs. The liner notes begin with a quote from Carol Kimball, one of the country's most esteemed authorities on art song (and a regular contributor to Journal of Singing), in which she says that one mark of a fine art song is that the listener finds it all but impossible to think of the music and text as separate ingredients that have been combined, but rather will take them in as a seamless whole and an utterly new creation. One might think of this as the Wagnerian concept of Gesamtkunstwerk (all-encompassing artwork), but on a much more intimate scale. And yet, there are songs in this recording where the relationship of music to text is more unsettled than that, and one is much more aware that this is a poem that someone has set to music. But even in these more effortfully executed songs there is much to appreciate and admire, even as they also help us appreciate the mastery of those songs where music and text are almost mystically one. …

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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)0.001
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.054
Threshold uncertainty score0.182

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.002
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0540.011

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 head0.018
GPT teacher head0.217
Teacher spread0.199 · 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

Citations1
Published2011
Admission routes1
Has abstractyes

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