Bibliographic record
Abstract
The 5 th International Conference on Earthquake Engineering and Disaster Mitigation, ICEEDM 2022, was held on 28 th -29 th September 2022. The 5 th ICEEDM in Gadjah Mada University was profoundly enjoying the collaboration with the joint-organizing committee with the Indonesian Earthquake Engineering Association (AARGI), International Association for Earthquake Engineering (IAEE), Japan Association for Earthquake Engineering (JAEE), Bandung Institute of Technology, Indonesian Islamic University, and Atmajaya University. The conference was supported by a scientific committee from four countries and twelve keynote speakers from five countries, i.e., Canada, Indonesia, Japan, Taiwan, and the USA. The 5 th ICEEDM 2022 was held to provide an opportunity to share experiences and disseminate the latest research and development results related to earthquake engineering, which will be very useful for increasing knowledge and disaster mitigation policies. It is hoped that this conference will benefit all parties to minimize the risk of earthquake hazards in Indonesia and worldwide. The 5 th ICEEDM 2022 proceeding contains papers written by academics, professionals, researchers, and students from Indonesia and Japan. Various research works related to the conference theme were presented during the conference. A total of 41 full papers accepted upon review for the proceeding publication are categorized into the following topics: A. Structural Engineering , including; Structural Earthquake Engineering, Structural Dynamics, Performance-Based Design and Evaluation, Structural Assessment and Retrofit, Seismic Devices and Applications, Non-engineered Buildings, Experimental & Numerical Modelling B. Geotechnical Engineering , including; Geotechnical Earthquake Engineering, Soil-Structure Interaction C. Seismological Engineering , including; Seismic Micro-zonation, Case Histories in Recent Earthquakes, D. Disaster Mitigation , including; Seismic Hazard and Tsunami Disaster Mitigation, Early Warning System, Post Disaster Recovery and Reconstruction, Community-Based Disaster Risk Reduction & Management
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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 | 0.001 |
| 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".