The backstage of Byblos' Roman theatre: new digital devices using information and communications technology (ICT)
Bibliographic record
Abstract
This paper presents the results of a multidisciplinary research project that combines the fields of architecture and the conservation of the built heritage, history, communications and computer science. The study of new methods of experimentation will enable us to define and validate new orientations in the way we understand, structure and transfer acquired knowledge about a given architecturally significant complex.The aim of the project is to present the various experiences obtained during the interpretation of heritage spaces, and in particular intangible heritage, using information and communication technologies. More specifically, it involves acquiring, through ICT, computer modelling and archaeologists' accurate documentation, an understanding of the consequences of successive occupations of an archaeological site on its current condition. It also seeks to gain a better understanding of the construction techniques and know-how of the Ancients.The objective of this project is to introduce computer modelling, which is capable of showing the site's evolution over the centuries, in order to help us understand the superposition of historic layers.This work will reflect on how to respond to certain challenges using the example of the experiences acquired at the site of the ancient city of Byblos in Lebanon, a city included in UNESCO's World Heritage List. The Byblos project also helps to re-create and re-mould a monumental complex without having all the information and to test hypotheses that we would otherwise be unable to validate without compromising the heritage values of a site by physically reconstructing it. Such a compromise was experienced in the case of the Roman theatre of Byblos (A.D. 218) which, in the 1930s, was moved and rebuilt by the sea by archaeologist M. Dunand.
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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 | 0.007 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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".