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Record W2948195147

Nový cirkus jako dramatické umění. Analýza inscenací nového cirkusu jako cesta k jeho estetickému diskurzu

2016· article· cs· W2948195147 on OpenAlexaboutno aff
Veronika Štefanová

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2016
Typearticle
Languagecs
FieldSocial Sciences
TopicEducation, Psychology, and Social Research
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

This dissertation introduces contemporary circus as a type of dramatic art. The work thus provides a basic framework for the analysis of contemporary circus and suggests a terminology for the designation of its specific traits. This terminology is derived first and foremost from the Czech theatre studies environment. The theoretical delineation of contemporary circus stems from selected theses from Otakar Zich's The Aesthetics of Dramatic Art and Erika Fischer-Lichte's The Transformative Power of Performance: A New Aesthetics. Contemporary circus, which is depicted as belonging to several discourses - historical, aesthetic, cultural policy and pedagogical, is described from a formal as well as content-focused point of view in order to best point out how the circus element changes and takes on meaning in relation to its theatrical counterpart. The thesis is subdivided into five parts. The introduction outlines the key theme, goals and methodology as well as terminology and theories which provide the work with a suitable point of departure. The Contemporary and Traditional Circus chapter describes the history and development of traditional as well as contemporary circus in selected countries (France, Canada, USA, Scandinavia) which are considered significant within the context of circus arts...

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.005
Scholarly communication0.0080.004
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.002

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 head0.025
GPT teacher head0.342
Teacher spread0.317 · 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 designQualitative
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
Published2016
Admission routes1
Has abstractyes

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Same venueDigital Repository (National Repository of Grey Literature)Same topicEducation, Psychology, and Social ResearchFrench-language works237,207