The Hidden Face of Cultural Heritage: a science window for the dissemination of elementary knowledge of risk and vulnerability in cultural heritage
Bibliographic record
Abstract
Abstract The dissemination of research in cultural heritage preservation to the public is a task that needs new models and expressions, to capture the attention of the public and the assessment of results. With this purpose, a new educational experience in Parque de las Ciencias (Science Park of Granada, Spain) was developed. The science window titled Hidden Face of Cultural Heritage (ScW-CH) was an exhibition to show the risks (hazards + vulnerability) associated to different artworks and materials of our cultural heritage (CH). ScW-CH was led by the researchers themselves, in collaboration with museum specialists, in order to develop a new model that makes their research accessible to all demographics. An innovative methodology based into simulating a showcase, was designed to study hazards and vulnerability in CH. Therefore, the montage contained materials, equipment, information sheets, and guides to accompany visitors as storytellers. The aim of the exhibition, was for the visitors to understand the risks posed to our monuments and artworks from a scientific point of view, and to raise awareness about the care that we should give to our CH. The ScW-CH was held for 6 months and visited by 8226 visitors. During the exhibition, a survey about the opinion of visitors was carried out to study the impact of the designed new model and assess the results of the experience. The collected data was analysed by the Statistical Package for the Social Sciences (version 22.0). Visitors usually presented a medium–high initial interest about visiting this exhibition, and a medium–low level of knowledge of this subject. Thanks to ScW-CH, 92% of visitors showed a very high learning level after the experience. The ratio of interest and learning in the ScW-CH in relationship with the level of study showed that secondary school pupils had the highest degree of interest and learning.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 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".