DIVE INTO HERITAGE: A DIGITAL DOCUMENTATION PLATFORM OF WORLD HERITAGE PROPERTIES IN THE ARAB STATES REGION
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract. The world celebrated the 50 years of the World Heritage Convention. With more than 1000 cultural and natural sites, the 1972 World Heritage Convention is the most widely recognized. It has provided a framework for identifying, documenting, protecting, and managing the world's cultural and natural heritage with Outstanding Universal Value (OUV). The theme to mark this anniversary is: “The Next 50: World Heritage as a Source of Resilience, Humanity and Innovation”. These are the topics that have inspired the World Heritage Centre to develop, together with the Member States in the Arab Region, an online platform that leverages digital technologies to safeguard and promote the UNESCO World Heritage sites and its related intangible heritage, and transmit them to future generations. This paper discusses the current state of digital documentation of cultural heritage and the related projects/initiatives in the Arab States region. It presents the UNESCO Dive into Heritage initiative and its first outcomes. It concludes with lessons learned and future steps for the next phases of the project. First outcomes have revealed the big challenge of 3D data integration and the need to accompany the implementation stages of the project with capacity building.
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.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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