Damage Assessment of Cultural Heritage Structures after the 2015 Gorkha, Nepal, Earthquake: A Case Study of Jagannath Temple
Bibliographic record
Abstract
The Gorkha, Nepal, earthquake and the series of aftershocks that followed have damaged many heritage structures in and around Kathmandu Valley, including UNESCO World Heritage Sites (WHSs). This paper summarizes observed damage to the heritage structures of diverse typologies within the UNESCO WHSs of Kathmandu Valley. As a part of the investigation, inspection survey and damage assessment were carried out for Jagannath Temple, one of the partially damaged monuments in the Kathmandu Durbar Square WHS. Ambient vibration and in‐situ tests using the pendulum hammer, the rebound hammer, and in‐place push on masonry walls were performed. Finite‐element models of the structure were developed, and the results were analyzed and compared with field observations. Based on the observed damages and the results obtained from numerical modeling, the primary causes of the damage are discussed.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".