The Dream and the Cross
Bibliographic record
Abstract
The Dream of the Rood is one of the earliest Christian poems in Old English and an example of the genre of dream poetry. While a complete text can be found in the 10th-century “Vercelli Book,” the poem is considerably older, and its oldest occurrence is carved (in runes) on the 7- to 8th-century Ruthwell Stone Cross. In this article, we present the work done in the framework of the “Visionary Cross” project, starting from the digitization of the Ruthwell Cross to the creation of a web-based digital edition of The Dream of the Rood , as it is carved on the Cross. The 3D data has been collected and processed with the explicit aim of creating a multimedia framework able to present the highly detailed digital model acquired with 3D scanning technology, together with the transcription and translation of the runes that can be found on its surface. The textual and spatial information are linked through a system of bidirectional links called Spots, which allow the users to navigate freely over the multimedia content, keeping the 3D and textual data synchronized. The present work discusses the different issues that arose during the work, from digitization and processing to the design of a tool for the integration of three-dimensional content in the context of the presentation on the web platform of heterogeneous multimedia data. We end with the difficulties involved in the creation of an XML encoding that could account for the necessities of the visualization system but remain within the scholarly encoding standards of the relevant disciplinary community.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.014 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.019 | 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".