Etruscan Dance Culture as Represented in Tomb Paintings from the UNESCO Heritage Site in Tarquinia (Italy)
Bibliographic record
Abstract
Karen Kain, recipient of the Companion of the Order of Canada and artistic director of the National Ballet of Canada, wrote an autobiography entitled Movement Never Lies referring to a truism about professional dance. The UNESCO heritage site of Tarquinia (Italy) featuring Etruscan tomb dance imagery has never been studied through Classical scholarship from the perspective of a professional dancer nor from the perspective of analysis of depiction of movement. The author of this presentation, a former dancer with the National Ballet of Canada (1986-1992) who is a Classics Major, has endeavoured to prove that examination of movement depiction can be used as evidence to provide insight into Etruscan culture. Methodology for the study is based on the premise that Etruscan dance representations of humans Ca. 2500 years ago and the techniques of the dancer of today reflect actions by the same species; therefore, a comparative is possible for the essence of the movement communicated. Results of the study indicate that representation of the Etruscan dance language is realistic and stable, is organically derived, is immensely practical, and has unique features within the Mediterranean cultural milieu. This preliminary study highlights the possibility of using ancient Classical cultures as models and terms of comparison for better understanding aspects of modern societies. It is salient that in contemporary culture, woman and children are dying to dance (from eating disorders), while Etruscans seemed to be dancing to live or to become ambassadors for an afterlife indicated by the Etruscan models.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".