MétaCan
Menu
Back to cohort
Record W4224979878 · doi:10.3138/seminar.58.2.3

The Language of Dance, the Dancer’s Eye, and Aesthetic Experience in Mary Wigman’s <i>Hexentanz II</i>

2022· article· en· W4224979878 on OpenAlexvenueno aff
Cara Tovey

Bibliographic record

VenueSeminar A Journal of Germanic Studies · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicGerman Literature and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDanceMeaning (existential)IndexicalityAestheticsContext (archaeology)PsychologySociologyLinguisticsArtLiteraturePhilosophyEpistemologyHistory

Abstract

fetched live from OpenAlex

Early Ausdruckstanz theory often compared Ausdruckstanz to a language to explain how Ausdruckstanz conveys the deeply personal, self-expressive message to its audience. Using Susanne Langer’s study on expression in art and George Lakoff and Mark Johnson’s work on conceptual metaphors in tandem with early dance theory and Mary Wigman’s Hexentanz II, I argue for a conceptual metaphorical understanding of dance as language. Because dance possesses a physical, indexical connection to its meaning, the language of dance consitututes a series of conceptual, rather than linguistic, metaphors that explain how dance conveys meaning through symbolic form, which for Wigman’s Hexentanz II, I demonstrate, is a radically feminist message. Then, turning from the production of meaning in dance towards the perception of said meaning, using Wigman’s theory of the dancer’s eye, I show how the objective of Ausdruckstanz forms a bond between a dancer and audience, incorporating the audience into the dance and creating a new kinesthetic and aesthetic experience. With this goal in mind, Wigman’s Hexentanz II situates itself in the context of other early avant-garde and modernist movements that sought a complete re-evaluation of perception and aesthetic ideals as a response to modernity.

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: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0060.021
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.279
Teacher spread0.260 · 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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueSeminar A Journal of Germanic StudiesSame topicGerman Literature and Culture StudiesFrench-language works237,207