Efforts to Unmanned Construction for Post-disaster Restoration and Reconstruction
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Efforts to Unmanned Construction for Post-disaster Restoration and Reconstruction Shigeo Kitahara, Yasushi Nitta and Shigeomi Nishigaki Pages 1155-1162 (2019 Proceedings of the 36th ISARC, Banff, Canada, ISBN 978-952-69524-0-6, ISSN 2413-5844) Abstract: This paper presents largely severe natural disasters had happened in Japan, and efforts to unmanned construction until now. First, problems in responses to post-disaster restoration and reconstruction are reported. Secondly, are described demonstration of ultra-long-distance unmanned construction and the requirements for the deployment. Thirdly, this paper presents research and development on autonomous crawler carrier. Finally, concluding remarks and further works are reported. In addition, are proposed levels of promising applicability of robots in responses to post-disaster restoration and reconstruction. Keywords: Post-disaster; Unmanned construction system; Situational Awareness; Ultra-long-distance; Autonomous crawler carrier DOI: https://doi.org/10.22260/ISARC2019/0154 Download fulltext Download BibTex Download Endnote (RIS) TeX Import to Mendeley
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.
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 it