THREE DOCUMENTATION SCENARIOS FOR THE LONG-TERM PRESERVATION OF DECORATED SURFACES IN THE CHURCH OF KUÑOTAMBO, PERU
Bibliographic record
Abstract
Abstract. The church of Santiago Apóstol of Kuñotambo is located in the southeast area of the Cusco province of Acomayo, containing remarkable interior mural paintings that contribute to the heritage value of the building and the area. The building was studied, conserved and seismically retrofitted as a model project for the Seismic Retrofitting Project (SRP), a collaborative project between the Getty Conservation Institute (GCI) and the Ministry of Culture of Peru in Cusco. Carleton Immersive Media Studio (CIMS) participated in the documentation of the decorated surfaces with an initial campaign in 2013, organized a series of workshops on documentation theory and practice with international experts and local professionals in 2017, and carried out a final recording after the conclusion of the site work in 2019. This last documentation phase provided a comprehensive documentation baseline and acquisition guidelines to plan the future long-term care of the decorated surfaces after their conservation. This paper presents the documentation carried out in 2019 and focuses on the three documentation scenarios proposed for the long-term preservation of decorated surfaces in the church: (1) Visual Documentation; (2) Digital Documentation; and (3) Comprehensive Digital Documentation. These different scenarios considered the particularly isolated location of the temple, the availability of equipment, the level of expertise in the different techniques proposed, and the frequency of future monitoring activities. Finally, the required tasks, necessary equipment, and potential challenges are presented for each of the documentation scenarios, with the objective being to offer a sustainable framework over time that serves the future Monitoring Plan for the heritage 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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 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".