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Record W4205204597 · doi:10.1353/wlt.2018.0361

Body Music by David Homel

2018· article· en· W4205204597 on OpenAlexaboutno aff
D. Emerson Eddy

Bibliographic record

VenueWorld Literature Today · 2018
Typearticle
Languageen
FieldMedicine
TopicMusicians’ Health and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeGloryVignetteArtLustFeelingSymphonySpectacleLiteraturePsychologySocial psychology

Abstract

fetched live from OpenAlex

she seeds the narrative with deep and abiding interest. Manhattan Beach is a novel to savor. Rita D. Jacobs New York Julie Maroh. Body Music. Trans. David Homel. Vancouver. Arsenal Pulp Press. 2017. 300 pages. With an orchestra of players on the stage of the streets of Montreal, Julie Maroh conducts a symphony of the human condition in Body Music. Through twenty-one graphic-narrative vignettes, Maroh guides us through a stunning array of emotions as she chronicles the lives and relationships of people across the city. With few exceptions, each vignette is unique in the players it presents , giving a specific movement of discrete instruments, like a separate movement for each flavor of love. As such, each treats its subject matter the way we experience love for the first time. Some notes are strange, some sweet, comforting, others dark, discordant , and also propulsive. Maroh runs us through all different kinds of love: puppy love, lust for sex, the feeling of losing your most cherished companion to debilitating disease, to missed love and ships passing in the night. No form is off the score. So too are the players diverse. Maroh’s artwork is also harmonious. Beautiful, fluid, and impressionistic at times, the art brings the song of the work to life, depicting all the glory of love. At times it changes slightly to fit the differing themes of the vignette. In one vignette, her art takes on a darker, more abstract appearance in a story dealing with love as interpreted through First Nations’ folk culture . In another, the art bears a more realistic , harder edge during one of the silent sequences, telling the story fully through the art. The art also represents a hidden love, Montreal itself. D. Emerson Eddy Hamilton, Ontario Roland Buti. Year of the Drought. Trans. Charlotte Mandell. London. Old Street. 2017. 160 pages. Thirteen-year-old Auguste (Gus) Sutter vividly remembers the summer of 1976, not just for the preternaturally harsh drought but also for the incidents leading up to the disintegration of his family. Gus, his mother and father, his older sister, Lea, and a mentally challenged worker named Rudy live on the family’s farm on the Swiss plateau. Buti’s take on a coming-of-age story is captivating because of the impending sense of doom and ruin that he weaves throughout Gus’s narrative. All of nature around them foreshadows the sad fate of this family: the crops are burning in the sun, Nota Bene WORLDLIT.ORG 73 Lawrence Joseph So Where Are We? Farrar, Straus and Giroux A New York–based writer and law professor of Syrian and Lebanese descent, Lawrence Joseph writes the noise and smoke and digital crowds of a world perplexed and then pierces that world with beams of lucid affect. Grappling with events of great scope, the poems in So Where Are We? are deeply affected by the events since 9/11, which they explore with an unflinching gaze and critical intelligence. Michael Köhlmeier Yiza Trans. Ruth Martin Haus Publishing Originally written in German by an Austrian author, Yiza is a story about a young girl of the same name who is abandoned in Germany, where she meets two young boys in a shelter for migrant children. One day, they decide to run away. Köhlmeier writes in a simple language and structure that suits the subjects and contrasts well with the gravity of the reality around them. ...

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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.392
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.010
GPT teacher head0.275
Teacher spread0.265 · 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
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
Published2018
Admission routes1
Has abstractyes

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