The State of Preservation of the Shakhty Rock Art Site and the Prospects of Its Conservation
Bibliographic record
Abstract
This article deals with the preservation of the Shakhty rock art site, discovered in the Eastern Pamirs in 1958 by the leading Central Asian Stone Age researcher V.A. Ranov. The analysis of photographs taken in the Shakhty rock shelter during the 2019 survey revealed the nature of destructive processes at the site due to environmental conditions of the Eastern Pamir highland. The article integrates the results of analysis of Ranov’s archives at the Donish Institute of History, Archaeology and Ethnography of the National Academy of Sciences, Republic of Tajikistan. Thanks to Ranov’s diaries and photographs, it was possible in 2019 to assess the degree of erosion on the rock surface, and the loss of fragments of painted images over more than 60 years. Emergency areas requiring conservation efforts were identified. Principles of conservation and restoration of rock art are outlined, and an overview of techniques developed for sites of this type in the post-Soviet space in the last quarter of the 20th century is presented. State of the art conservation methods for rock art, which, in the future, can be applied for the preservation of emergency areas at Shakhty, are described. A set of measures is suggested to preserve this site.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".