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Record W3158819063 · doi:10.1108/jchmsd-05-2020-0076

Capacity building for the documentation and conservation of Latin American cultural heritage: making technology accessible and sustainable

2021· article· en· W3158819063 on OpenAlexaffabout
M. Reina Ortiz, Mario Santana Quintero, Clemencia Vernaza, Fernando Montejo Gaitán, Juana Segura Escobar

Bibliographic record

VenueJournal of Cultural Heritage Management and Sustainable Development · 2021
Typearticle
Languageen
FieldEarth and Planetary Sciences
Topic3D Surveying and Cultural Heritage
Canadian institutionsCarleton University
Fundersnot available
KeywordsDocumentationLatin AmericansCultural heritageGovernment (linguistics)National parkHistoric siteSustainable developmentMuralEnvironmental planningLibrary scienceGeographyEnvironmental resource managementArchaeologyPolitical scienceHistoryComputer sciencePainting

Abstract

fetched live from OpenAlex

Purpose The purpose of this contribution is to demonstrate the importance of interdisciplinary collaboration in integrating advanced and emerging digital techniques in the appropriate and sustainable documentation of heritage sites in Latin America. Existing collaboration between the Universidad del Externado de Colombia, the Colombian Institute of Anthropology and History and the Carleton Immersive Media Studio of Carleton University in Ottawa (Canada) have been sued to demonstrate the importance of this approach. The described collaboration allowed a team of students, researchers, government experts and educators to document selected pilot areas of the remarkable UNESCO World Heritage Sites of National Archeological Park of Tierradentro (UNESCO, 1995) and San Agustín Archaeological Park (UNESCO, 1995). The sophisticated digital recording techniques described, such as 3D scanning, aerial and ground photogrammetry techniques, were used to capture the site's current physical condition, emphasizing the pressing need to conserve the threatened mural paintings (Tierraadentro) and carved rock phases (San Agustin). This contribution also underlines the importance of developing the training of emerging professionals from Colombia in adopting these techniques to make their documentation more accurate, reliable and sustainable in the long term. The project's conclusions demonstrate that it is crucial to integrate emerging documentation techniques into the sustainable approach to conservation of these two important UNESCO World Heritage Sites. Design/methodology/approach The approach presented in this contribution makes technology more accessible to the conservation specialist in Latin America. It provides a comprehensive capacity building program that involves teaching about theory and practice, using two important UNESCO World Heritage Sites located in Colombia. It is also relevant to the interdisciplinary and institutional collaboration between two universities in the North/South areas of the continent and a government institution that effectively collaborates to provide training to emerging professionals. Findings The contribution summarizes the opportunities and limitations of adopting technology to make the documentation process for conservation more sustainable in low-income economies and provides a framework to implement future strategies in South America. Originality/value The paper raises a discussion on how the concept of sustainability of adopting new technologies in the context of Latin American countries can assist in optimizing the conservation of decorated surfaces in important UNESCO World Heritage Sites by involving capacity building of emerging professionals.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.019
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.004
Science and technology studies0.0060.007
Scholarly communication0.0150.008
Open science0.0030.013
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0150.002

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.

Opus teacher head0.025
GPT teacher head0.263
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations7
Published2021
Admission routes2
Has abstractyes

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