A methodological approach to rock art survey and recording via drone. The application to the Rock Art of the Mediterranean Basin of the Iberian Peninsula assemblage
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The significant advancement in drone technology has led to increased usage across different scientific domains. In the field of archaeology, drones became increasingly popular a decade ago, primarily for photogrammetric documentation or aerial photography. Since then, researchers have experimented with new applications, notably utilizing LiDAR imagery to enhance archaeological surveying. In this context, one of the latest applications involves surveying open-air rock art shelters in inaccessible locations to search for prehistoric rock art imagery. The current study involves refining the methodology used for this purpose in the territory of UNESCO’s World Heritage List property Rock Art of the Mediterranean Basin of the Iberian Peninsula, utilizing a DJI Mavic 3 drone, which represents a significant improvement over previous models. On the other hand, it highlights the potential for its utilization in conservation studies and managing human activity in their environments, considering the threats to which these sites are currently exposed.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it