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Record W4391794428 · doi:10.35218/icds-2023-0016

The Otherness through Le rêve d’Urmila (Urmila’s Dream), an Interdisciplinary and Intercultural Research Creation Doctoral Project through Natyashastra

2023· article· en· W4391794428 on OpenAlexaffabout

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldArts and Humanities
TopicIndian History and Philosophy
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsDreamSociologyHumanitiesArtPsychology

Abstract

fetched live from OpenAlex

This communication will present how research creation based doctoral project can be an opportunity to explore the Otherness and other disciplines, to open to new realms of research as well as to question the artist’s posture in his journey between the culture of origin and the culture of the discipline in which he trains. As an apprentice, I studied kathakali in South India in my early twenties and it influenced all my theatre practice. The dance-theatre of Kerala has been part of my creative tools since the beginning of my creative life as a professional stage artist. My doctoral research was a way to question the footprint of the kathakali training in a creation project, to deepen my knowledge of Indian theatre and to explore the connections between kathakali, Natyasastra, the classical Indian treaty of dramaturgy, and my doctoral creation, Le rêve d’Urmila, which has been presented in September 2018 at Université Laval, in Quebec City. As part of my doctoral research on cultural hybridity, I had to train a group of western artists to dance and play with the codes of Indian dance to reach the level of cultural and disciplinary competence needed to produce the doctoral creation. I will thus present the specificities of the training process and expose the ways in which we explored various elements of the kathakali performance: the four abhinaya, rhythmic and musical elements, etc.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.700
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0010.001
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 head0.243
GPT teacher head0.414
Teacher spread0.171 · 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
Published2023
Admission routes2
Has abstractyes

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