A PHOTOGRAPHIC DOCUMENTATION WORKFLOW FOR DIGITIZATION OF CULTURAL HERITAGE: THE 14 CENTURY CHURCH OF SV. NIKOLA IN KALOTINA, BULGARIA
Bibliographic record
Abstract
Abstract. The church of Sv. Nikola, dated to the mid-14th century, is an important medieval cultural heritage monument with vivid fresco iconography located in the village of Kalotina, Bulgaria. The church consists of a small narthex and a larger naos with an apsidal wall. Much of the decorative details are beginning to degrade which makes the need for documentation of the current state important for preservation. Due to its remote location, public access is limited for both visitors and researchers. During the recent campaign, a workflow was designed with the purpose of obtaining complete documentation of the church. The workflow aimed to be low-cost and relatively quick. Complete photographic documentation was conducted including close-range photogrammetry of the interior and exterior of the church, Reflectance Transformation Imaging (RTI) of a selection of the graffiti within the frescoes, and 360-degree HDR panoramas. Additionally, a field survey of the surrounding area was performed by archaeologists and a geodetic survey which was used for the georeferencing of the photogrammetric 3D models. This detailed workflow developed for this project serves as a case study of a methodology for complete documentation of immovable cultural heritage.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.008 |
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".