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Record W2621135143

Shedding Perfection and Accepting Truth: Exploring Compassion and an Embodied Physicality for the First Soldier and Third Girl in Oh What a Lovely War

2015· dissertation· en· W2621135143 on OpenAlexaboutno aff
Natalie Olena Semotiuk

Bibliographic record

VenueYorkSpace (York University) · 2015
Typedissertation
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEmbodied cognitionGirlCompassionConstruct (python library)PerfectionPsychologyAestheticsSelfSternPsychoanalysisSociologyArtEpistemologySocial psychologyEngineeringComputer sciencePhilosophyDevelopmental psychologyPolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

This text is an exploration of one actor’s challenge to find self-confidence, to develop a new process with a compassionate approach and a physical practice to construct characters that are physically embodied. First, self-confidence is explored through the techniques of Rolfing and talk therapy with a Jungian analyst. Next, a new physical and vocal warm up is created from a combination of technical skills learned at Canada’s National Voice Intensive in Vancouver and theatre classes at York University in Toronto. Positive affirmations are put into practice to ensure self-care throughout the rehearsal process. Subsequently, an exploration of two different methods for constructing two characters, one physical approach for the First Soldier, and one psychological approach for the Third Girl, to determine what method is more effective for creating fully embodied characters in the production of Joan Littlewood’s play Oh What a Lovely War.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.124
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.071
GPT teacher head0.260
Teacher spread0.189 · 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.

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
Published2015
Admission routes1
Has abstractyes

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