Bibliographic record
Abstract
International Conference on Environment, Earth Science and Sustainability (ICES) Proceedings of International Conference on Environment, Earth Science and Sustainability (ICES 2022) Following six successful events of the Annual Workshop, the 7th Annual IIES Science and Policy Workshop was jointly organized with the International Conference on Environment, Earth Science and Sustainability (ICES) from 24 Oct to 28 Oct 2022 in Ho Chi Minh City, Vietnam. The ICES 2022 - a multidisciplinary conference - initiated under the auspices of Ho Chi Minh City University of Technology (HCMUT), Trent University (Canada) and the IIES Network, and was taken place in the occasion of the 65th anniversary of HCMUT. This year, the ICES Conference with the theme of “Integrated Multidisciplinary Sciences towards Sustainable Development” was held in Ho Chi Minh City (24 - 26 Oct 2022) and Phu Quoc, Vietnam (27 - 28 Oct 2022). The Conference was successfully organized by a synergy of the consortium of Vietnam National University Ho Chi Minh City (VNU-HCM), Ho Chi Minh City University of Technology, International Institute for Environmental Studies, Trent University, Nan Jing University, Kunsan National University (KSNU), Dalhousie University, and Institute for Circular Economy Development - VNU-HCM. The ICES 2022 covers five main topics of (i) Civil Engineering, (ii) Environmental Sciences and Management, (iii) Environmental Engineering and Technologies, (iv) Earth Sciences/Natural Resources, and (v) Circular Economy/Sustainability. Participants gained insights into current research in civil engineering, earth and environmental science, policy and planning, and attained a worthy opportunity to meet colleagues from several institutions, universities, and agencies. For students, this is a chance to share their research outcomes and to build-up potential collaborative relationships at an international level. The Conference drew substantial attention from leading scientists, managers, lecturers, and merit students from universities, institutes, and research centers as well as officials from relevant government departments, agencies, companies, and enterprises. Overall, the Conference has attracted more than 216 papers from scientists, researchers, government managers, and graduate students. Among them, 79 high-quality papers were recommended to submit for peer-reviewing. Then, the double-blind review process was carried out for the 67 papers, in which each paper has been reviewed for its merit and novelty by at least two reviewers and one editor by matching the content areas. As a result, a total of 37 papers have been finally selected for this proceedings book. We believe that this proceedings book provides a broad overview of recent advanced studies in the fields of Civil Engineering, Material, Circular Economy, Environment, Resources and Earth Sciences for readers. Most importantly, we would like to express our sincere thanks to (i) Division of Science and Technology – Vietnam National University Ho Chi Minh City (Prof. Lam Quang Vinh); (ii) Rector of HCMUT (Prof. Mai Thanh Phong) for their help and other supports. We would like to thank all the reviewers for their timely and rigorous reviews of the papers and all authors for their interests in the ICES 2022. List of Editors are available in the pdf.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.610 | 0.452 |
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".