COVID 19 Forced cancelation of Uluwatu Cliff’s Fortification
Bibliographic record
Abstract
Badung Regency Government forced to postpone several projects in 2020 due to COVID-19 pandemic. Uluwatu temple, a gem in Bali's southern part, became one of many sites that need to be maintained. Above all, a viral photo about the Uluwatu cliff in 2019 made the public's attention focused on the iconic tourism spot. The circulated image depicted a massive crack on the rocky height at the side of the Uluwatu temple. The Manager, I Wayan Wijana, admitted that there is a crack on cliffs at Uluwatu Temple. Furthermore, it has been there for decades. According to observers, in 1992, there was an insignificant decrease of about one millimeter. Although Uluwatu cliff's crack has been there for decades, there was no significant government action. Local authorities decided to reduce the number of prayer visits during ceremonies and center tourism activities in the outer temple area to prevent any accidents. Besides, the Badung regency government had conducted few patches on the cliffside, with a regular annual inspection. Finally, In 2019, the Government of Badung invited potential quotation to fortify the Temple's base. Nevertheless, there was no final announcement regarding the quotation winner. In the second quarter of 2020, Badung Public Works and Spatial Planning Agency announced a temporary suspension on several infrastructure projects due to budget allocation for COVID-19 handling. The announcement confirmed that the Uluwatu fortification project would not be conducted in the year.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.075 | 0.017 |
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".