The Greek-Roman Theater of Taormina: Towards a Reconstruction Proposal
Bibliographic record
Abstract
This article presents some results achieved by the IBAM CNR for the reconstructive study of the Greco-Roman theater of Taormina, aimed at the realization of a CG film presented at the G7 summit (26-27 May 2017). The reconstruction is currently presented to visitors on display inside one of the two basilicas at the entrance to the theater. The work was commissioned by the archaeological park of Naxos-Taormina and proposes the ancient monument in its original appearance in two distinct phases. The first phase, dating back to the first quarter of the 2nd century AD, involves an impressive renovation, with the expansion of the seating capacity and the construction of an external ambulatory, in addition to the reconstruction of the whole frons scaenae. The second phase is ascribable to the 3rd century, and changes the theater building and the orchestra, with the transformation of the orchestra area into an arena, a testimony to the tendency to replace theatrical performances with gladiatorial games and venationes. Our reconstruction uses rapid 3D relief methodologies based on drone and ground photogrammetry, together with the interpretative potential offered by the 3D modeling environment. This approach has led to some unpublished solutions, such as the solution of the connection of the velarium with the hill supported only by ropes. However, the main objective of this work is linked to understand the architectural of the monument in an overview that places it in its original context and that allows visitors to appreciate the various elements of its originality.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".