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Record W6996204911

Research Methodologies for Dance and Cultural Dramaturgies in Contested Land

2023· article· en· W6996204911 on OpenAlexaboutno aff

Bibliographic record

VenueResearchOnline@ND (The University of Notre Dame) · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Research and Splicing
Canadian institutionsnot available
Fundersnot available
KeywordsDanceIndigenousDramaturgyInterculturalismCultural studiesWeavingIntercultural relations
DOInot available

Abstract

fetched live from OpenAlex

Between 2022 and 2023 Australia’s leading Indigenous intercultural dance and theatre company Marrugeku presented two research laboratories titled, Dance and Cultural Dramaturgies in Contested Land, which took place on Yawuru Buru, Rubibi (Broome) and Gadigal and Bidiagal lands (Sydney). This presentation for Nulungu’s Talking Heads seminar series by Marrugeku’s Co-Artistic Directors Yawuru /Bardi/ Malay/ Filipino movement artist Dalisa Pigram and Anglo-Pākehā director and dramaturg Rachael Swain will be a collaborative weaving of critical discourse, documentation and reflection unpacking the practice led research model for new dramaturgies in contested land. Working together from their distinct positions and disciplines Dalisa and Rachael have co-created trans-disciplinary and intercultural performance over three decades. These collaborations have been undertaken with Kunwinjku and Yawuru cultural custodians and co-devising artists from many disciplines, many Indigenous Nations and diverse settler backgrounds leading to new trans-Indigenous, intercultural and interdisciplinary dramaturgies. The two research labs were curated by Dalisa and Rachael together with their long term dramaturgical collaborators Yawuru cultural leader Patrick Dodson and Belgian dance dramaturg Hildegard de Vuyst. Each two week research process was convened for leading independent practitioners from Australia, Aotearoa, Canada and Morocco to locate questions of dance dramaturgy in the contested land that it is danced on and to engage the cultural perspectives and experiences of those who create it. The presentation will unpack the research methodology to share approaches that might be applied in other situations of dramaturgical experiment. The reflections have been focused and documented in collaboration with Dr Tia Reihana (Ngāti Hine) who attended the Gadigal lab as Kairangahau (researcher). Dalisa, Rachael and Tia are members of the working group leading Dance Research Australasia, an international network that curates, connects and activates research to build capacity and invigorate dance praxis locally and globally amid the ever present histories and current critical discourses of the Southern Ocean context.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.823
Threshold uncertainty score0.277

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.123
GPT teacher head0.412
Teacher spread0.289 · 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 designBench or experimental
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 routes1
Has abstractyes

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