Embodied Interactions with a Sufi Dhikr Ritual: Negotiating Privacy and Transmission of Intangible Cultural Heritage in “Virtual Sama”
Why this work is in the frame
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Bibliographic record
Abstract
“Virtual Sama” is an interactive multimedia installation that connects computationally abstracted ethnographic documentation of a Sufi Dhikr ritual with viewers through an artistic artificial intelligence (AI) abstraction process and interactive rhythmic full body movement. In this paper, we describe how the installation is designed to elicit reflection on the implications of transforming intangible heritage into digital heritage through digital documentation and storage, and to encourage exploration of questions around privacy and safeguarding of sensitive cultural practices. Against the context of detailed fieldwork with Uyghur Sufi practitioners in Xinjiang, China, we explore how AI processes and embodied interaction might be mobilised to present alternative representations of anonymity, while drawing attention to the complexities of representation, access and transmission of intangible cultural practices in the digital age.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it