Bibliographic record
Abstract
The 2020 11th International Conference on Environmental Science and Technology (ICEST 2020) was held as virtual conference during November 19-21, 2020 due to recent pandemic. The decision to hold the virtual conference was made by conference committees in compliance with many travel restrictions and regulations that were imposed by countries all over the world. The health and safety of our participants and members is top priority to the conference organization. Therefore, worldwide participants have attended this online conference by zoom application and finished their oral presentations successfully. Conducted by the organizing committees in Beijing, there are around 70 participants in total and they are from UK, Indonesia, Australia, Canada, Japan, Romania, China, Thailand and so on. ICEST 2020 is supported by Beijing Normal University (BNU), Xiamen University of Technology (XMUT), International Society for Environmental Information Sciences (ISEIS), South-South Collaborative and Sustainable Development Center (SSCSDC), and Fujian Smart City Association (FSCA). This three-day conference focused on the research fields in environmental science and technology. The primary goal of the conference is to promote research and development activities in environmental science and technology. Another goal is to promote scientific information interchange among researchers, developers, engineers, students, and practitioners working in China and abroad. During the conference, the conference model was divided into mainly two parts, including keynote speakers and oral presentations. In the first part, we invited internationally well-known experts to deliver speeches as keynote speakers. They are Prof. Yongping Li from Beijing Normal University, China; Assoc. Prof. Farhad Shahnia from Murdoch University, Australia; Prof. Guilin Zheng from Wuhan University, China; Prof. Wei-Jen Lee from University of Texas at Arlington, USA; Assoc. Prof. S. M. Muyeen from Curtin University, Australia; Prof. Zhijun Peng from University of Bedfordshire, UK. In the second part, each scholar was given 12 minutes to perform their oral presentation and 3 minutes for Q&A. All papers presented at the 2020 11th International Conference on Environmental Science and Technology (ICEST 2020) are included in this volume, which contains four chapters with topics: (1) Hydrology and Water Resources Management, (2) Solid Waste Treatment and Soil Pollution Assessment, (3) Energy Saving and Emission Reduction, (4) Building Climatology and Bioclimatology. All papers are subjected to peer-review by conference committee members and international reviewers. The papers are selected based on high quality and high relevancy to the conference scope. We would like to express our gratitude to all individuals and organizations who supported the ICEST 2020. Their helps and contributions are of great importance to the success of this conference. In addition, we would like to thank the organizing committee for its valuable inputs in shaping the conference program and reviewing the submitted papers. We sincerely hope that the ICEST 2020 turned out to be a forum for excellent discussions that enabled new ideas to come about and promoted collaborative research works. We are sure that the proceedings will serve as an important research source of references and knowledge, which will lead to not only scientific and engineering findings but also new products and technologies. Yongping Li Beijing Normal University, China Dec. 16, 2020 Committees, Conference Chairs, Technical Program Committee, Guest Editors, Organizing Committee, Contact Chair, Technical Members, are available in the pdf
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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 | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".