Proposition et simulation de modèles numériques de compréhension d'un patrimoine : le théâtre romain de Byblos au Liban
Bibliographic record
Abstract
This thesis presents the results of several experiments performed within the context of a project dealing with the creation and planning of a site as it considers its heritage value, using new Information and Communication Technologies (ICT's). The research question posed is as follows: How does one, with the aid of ICT's, take into account a particular type of heritage during the design conception process? This research proposes that the roles of these new technologies are not limited to simple communication and representational tools. Current research shows that they are also used as information tools during the conception process, thereby allowing the users to take into account a number of different factors during the creation of an architectural space. The research attempts to demonstrate that the appropriation of the heritage aspects of a site is possible during the conception process. This study proposes models that contribute to the understanding of the role of the heritage aspects of a site in the creative process, integrating themes related to heritage as identified in the proposal, and facilitating the selection of a site to meet the proposal's requirements, whilst facilitating an understanding of its heritage. The site chosen is the historic city of Byblos in Lebanon. In considering this case study, we have created models using digital simulation methods. These models are particularly useful to integrate the specific heritage aspects of a site, so as to respond to the demands of the site's architectural and spatial creator. The digital models presented have a dynamic, interactive and renewable character and use a multidisciplinary approach. The experiences are then performed and tested within a collective work space. The approach allows for a verification of the research hypothesis, which claims that it is possible to simulate digital models pertaining to the comprehension of a heritage site. This allows the spatial creator to take into account notions of heritage during the conception process. The results obtained demonstrate that ICT's can contribute to the improvement and evolution of the conception process of an architectural space having heritage character. These results can serve as a basis for the initiation of other projects dealing with the spatial conception of a site which requires that its heritage character be taken into account. This research contributes to both the development of the latest comprehensive digital modeling systems, which aid designers preoccupied with heritage concerns to realize their architectural spaces, and to the development of new tools of conception linked to ICT's where the creation of new places facilitates an exchange of knowledge using a multidisciplinary approach. The results of this research also allow for the development of tools geared towards educating youth on the importance of their heritage while simultaneously teaching them how to care for it. Making use of the latest evolutions in the Web - Web 2.0 and new approaches in the management of the Web's content, this research provides the required knowledge needed to create new systems of heritage management through proposed collaborative work spaces using the new information and communication technologies.
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 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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".