Destroyed temples of Ukraine: religion and culture on the battlefield
Bibliographic record
Abstract
In the three years since the outbreak of full-scale war, several thousand Ukrainian cultural and heritage sites have been damaged. Almost a thousand, mostly religious, buildings have been destroyed. This article discusses the emergency preparedness and response of the cultural sector to the war in Ukraine. In the face of large-scale war, the Ukrainian cultural sector quickly organized itself to protect collections, venues, and people through non-governmental organizations (including the Heritage Emergency Response Initiative, launched in March 2022). Among the leading partners in this alliance has been the Maidan Museum in Kyiv. To raise awareness about the war’s devastating nature and to tell the emotional stories of the cultural ecosystem, the Maidan Museum and its partners produced the exhibit Destroyed Temples of Ukraine, which is currently on display in Ukraine and abroad. The exhibit was unveiled in Edmonton in March 2024 and has since been touring Canada with the support of the University of Alberta and the Canadian Institute of Ukrainian Studies. This report introduces the exhibit, its genesis, and some of its contents.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".