The complex of S. Eustachius in Göreme, Cappadocia \nreading the relationship between the landscape and a very articulated underground \nsettlement
Bibliographic record
Abstract
Abstract: The settlement of the St. Eustachius church is excavated in the volcanic stones in the back part of \nthe Tokalı church. The latter is a second monument is a very well-known rupestrian church in the \nCappadocia area, but the structure of the whole settlement in which the Tokalı is inserted it’s still subject of \nstudies and hypothesis. So the St. Eustachius church, with its small room, covered with a vault enriched by a \nbeautiful mural painting, its sepultures and its very articulated system of secondary rooms and tunnels, \ncreates a rich and very challenging subject for the scholar and the surveyor. In fact the St. Eustachius \nsettlement is carved in the peaks closing the plateau over the back of the Tokalı, because of its higher level it \nlooks directly toward the Uçhisar Castle, placed at a linear distance of four kilometers, creating all the \nconditions to communicate with this important outpost using visual signals. In the remains of its tunnels, \ncrossing the stone from the plateau to the rear “sword valley” there is the possibility to read the defensive \nsystem of the people from that time, where the church, the houses, the farms were working together to \nguaranty the security to its inhabitants. The digital survey, done using phase shift laser scanner all along the \ntunnels and all around the stones along the plateau and the “valley of the swords” has created the first \ncomplete and detailed documentation of this settlement, allowing the first in deep studies about this \nmeaningful Church.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".