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Record W85479170 · doi:10.20361/g21s31

The White Ballets by R. Kupesic

2012· article· en· W85479170 on OpenAlexvenueaboutno aff
Trish Chatterley

Bibliographic record

VenueThe Deakin Review of Children s Literature · 2012
Typearticle
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsnot available
Fundersnot available
KeywordsBalletWhite (mutation)PaintingArtArt historyVisual artsDanceMusicalHistoryLiterature

Abstract

fetched live from OpenAlex

Kupesic, Rajka. The White Ballets. Toronto, ON: Tundra Books, 2011. PrintMany classical ballets choreographed in the 1800s are considered “white ballets,” since during at least one scene, the prima ballerina and the dancers in the corps de ballet are all costumed in traditional long white tutus. This work by former ballerina Rajka Kupesic retells the storylines for three of these ballets: Swan Lake, Giselle, and La Bayadère. Each story is illustrated with reproductions of four of Kupesic’s paintings. The book’s introduction explains a bit about this background and gives Kupesic’s reasons for choosing these ballets. It would have been helpful if she had mentioned other “ballets blancs” such as “Les Sylphides” so interested readers could seek information about them as well. Each story is followed by an “About the ballet” page. This page includes a brief history of the ballet’s early performances, identifies the choreographer and musical composer, and provides a commentary about each illustration and its meaning. The dust cover displays one of the images from “Swan Lake” while the image on the front cover depicts a scene from “Giselle.” The work is labeled as being for all ages and indeed there is something for everyone. The stories are told using simple language that young girls could read, while the commentaries would be appreciated by an older audience. Despite the explanations, young children may not understand the nuances of the artwork. The paintings are intended to portray the atmosphere of the performance, though younger readers may have preferred a more literal interpretation of the story. I fear the reprinting of the paintings may have led to some loss of their intended effect. I would not have noticed the application of gold leaf had it not been mentioned, and in the two page “Swan Lake” illustration, although the eye is supposed to be drawn to the image of Odette in the back window, the page fold interferes. Art is subjective, and many readers may find the illustrations breathtaking. While there are many beautiful elements to the illustrations such as the costuming and backgrounds, there are certain features that are not to my personal liking. Several dancers assume poses from the actual choreography, but in several cases the postures look awkward with overly inclined heads and weirdly proportioned and angled legs. One always thinks of ballerinas as beautiful young maidens but these dancers seem to have very prominent noses and oddly spaced eyes. The faces all seem to have the same emotionless expression, and the poses all seem quite static with little allusion to movement. Despite my comments about the illustrations, many people will appreciate the artwork. The “About” pages will be beneficial for aspiring ballerinas as they learn some dance history and something of the choreographers and composers of the major classical ballets. Because the stories themselves stay true to the ballets and can be enjoyed by readers of all ages, this work would make a nice addition to any ballet lover’s personal library. Recommended: 3 out of 4 starsReviewer: Trish ChatterleyTrish is a Public Services Librarian for the John W. Scott Health Sciences Library at the University of Alberta. In her free time she enjoys dancing, gardening, and reading books of all types.

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)0.001
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 score0.074
Threshold uncertainty score0.246

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0740.054

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 head0.008
GPT teacher head0.275
Teacher spread0.267 · 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

Citations0
Published2012
Admission routes2
Has abstractyes

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