Radiocarbon sample information.
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| Title: | Radiocarbon sample information. |
|---|---|
| Authors: | Mladen Popović, Maruf A. Dhali, Lambert Schomaker, Johannes van der Plicht, Kaare Lund Rasmussen, Jacopo La Nasa, Ilaria Degano, Maria Perla Colombini, Eibert Tigchelaar |
| Publication Year: | 2025 |
| Subject Terms: | Ecology, Plant Biology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, almost complete lack, enoch could predict, dated scroll samples, ancient handwritten manuscripts, div >< p, dead sea scrolls, 14 , computed date predictions, trained enoch model, present enoch, prediction model, enoch ’, dated scrolls, bearing manuscripts, based predictions, palaeographic post, often older, hoc evaluation, current debates, based dates, based date, 7 years, 135 non |
| Description: | Determining by means of palaeography the chronology of ancient handwritten manuscripts such as the Dead Sea Scrolls is essential for reconstructing the evolution of ideas, but there is an almost complete lack of date-bearing manuscripts. To overcome this problem, we present Enoch, an AI-based date-prediction model, trained on the basis of 24 14 C-dated scroll samples. By applying Bayesian ridge regression on angular and allographic writing style feature vectors, Enoch could predict 14 C-based dates with varied mean absolute errors (MAEs) of 27.9 to 30.7 years. In order to explore the viability of the character-shape based dating approach, the trained Enoch model then computed date predictions for 135 non-dated scrolls, aligning with 79% in palaeographic post-hoc evaluation. The 14 C ranges and Enoch’s style-based predictions are often older than traditionally assumed palaeographic estimates, leading to a new chronology of the scrolls and the re-dating of ancient Jewish key texts that contribute to current debates on Jewish and Christian origins. |
| Document Type: | article in journal/newspaper |
| Language: | unknown |
| Relation: | https://figshare.com/articles/journal_contribution/Radiocarbon_sample_information_/29237943 |
| DOI: | 10.1371/journal.pone.0323185.s010 |
| Availability: | https://doi.org/10.1371/journal.pone.0323185.s010 https://figshare.com/articles/journal_contribution/Radiocarbon_sample_information_/29237943 |
| Rights: | CC BY 4.0 |
| Accession Number: | edsbas.371F0E97 |
| Database: | BASE |
Nájsť tento článok vo Web of Science | Abstract: | Determining by means of palaeography the chronology of ancient handwritten manuscripts such as the Dead Sea Scrolls is essential for reconstructing the evolution of ideas, but there is an almost complete lack of date-bearing manuscripts. To overcome this problem, we present Enoch, an AI-based date-prediction model, trained on the basis of 24 14 C-dated scroll samples. By applying Bayesian ridge regression on angular and allographic writing style feature vectors, Enoch could predict 14 C-based dates with varied mean absolute errors (MAEs) of 27.9 to 30.7 years. In order to explore the viability of the character-shape based dating approach, the trained Enoch model then computed date predictions for 135 non-dated scrolls, aligning with 79% in palaeographic post-hoc evaluation. The 14 C ranges and Enoch’s style-based predictions are often older than traditionally assumed palaeographic estimates, leading to a new chronology of the scrolls and the re-dating of ancient Jewish key texts that contribute to current debates on Jewish and Christian origins. |
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| DOI: | 10.1371/journal.pone.0323185.s010 |