Bibliographic record
Abstract
Climate change has led to the increase of heat exposure or natural hazard due to extreme weather. This anthropological climate change phenomenon has negatively altered the most fundamental natural resources for living organism: air, water, and soil. Air has been polluted and warming due to human activities. The quantity of freshwater keeps on depleting, while the ground water recharge intervened with chemical and biological contamination. The sustainability of soil as the natural planting media is under threat due to land use conversion and soil quality degradation. Water acidification and temperature increase have been proved to change the salinity of seawater. Those are the impact of the increasing greenhouse gas emission in the earth’s atmosphere. The 8th International Conference on Climate Change (ICCC) aims to accommodate and to discuss the regional findings related the adaptation and mitigation strategies on climate change worldwide. The meaning to hold ICCC is getting more and more important. This conference can alert the creeping disaster. The contribution of all the participants, distinguished guests to this conference would make our world better and progress our scientific knowledge. Sharing the insight into the recent research and the cutting-edge technologies should enhance our ability and it might give us the breakthrough ideas on our sustainability under climate change. ICCC would be fruitful for every participant and be a great chance to approach the scientific solution for our common goals. Faculty of Agriculture of Sebelas Maret University, Surakarta, Indonesia is very proud to organize the 8th International Conference on Climate Change (ICCC). International Conference on Climate Change has been playing a significant contribution to formulate the strategies to cope with the emerged problems due to the climate change, as well as to support the sustainable development goal achievement. Sebelas Maret University has been seriously taking part to minimize the climate change impact, by promoting environment-friend programs, such as the green campus program and prohibiting the motor-vehicle to enter the campus every month. Sebelas Maret University also realizes that the responsibility of maintaining this earth should be by everyone. Each of us plays a significant contribution to minimize the global warming of this earth. That is why Faculty of Agriculture of Sebelas Maret University organize such events to discuss the findings related the earth-protection. We hope this conference will resulting into valuable recommendations in focusing and improving the natural resources management as well as improving the human’s living efficiency to bring the greenhouse gas emission down. We need to produce alternative technologies as the climatic resilience strategies to overcome the key climate-change sensitive pathways, as well as to support the achievements some global goals in the Sustainable Development Goals (SDG). Accordingly, the topic of the 8th ICCC is “Environmental Management towards Sustainable Development Goals (SDGs) under the Changing Climate”. The 8th ICCC was organized by Faculty of Agriculture, Sebelas Maret University, Indonesia, in collaboration with Asian Institute of Technology, Thailand and The United Graduate School of Agricultural Sciences, Gifu University, Japan. The 8th ICCC was held at The Asian Institute of Technology Conference Center, Thailand from 17-18 November 2022. The 8th ICCC was conducted in the Hybrid method because travel restrictions are still enforced by some countries to prevent the spread of Covid-19. Besides, providing options for attending the 8th ICCC virtually is more comfortable for participants and presenters with limitedness of budgets. The 8th ICCC 2022 delivers great appreciation to Prof. Dr. Samanhudi, Dean of Faculty of Agriculture, Sebelas Maret University, Indonesia; Professor Dr. Shobhakar Dhakal, Vice President for Academic Affairs, Asian Institute of Technology, Thailand; and Prof. Dr. Ken Hiramatsu, Dean of United Graduate School of Agricultural Science, Gifu University, Japan; for formal support to the conference. Gratitude presented to the invited speakers: Prof. Dr. Avishek Datta from Head of Department of Food, Agriculture, and Bioresources, Asian Institute of Technology, Thailand; Prof. Dr. Eric van Hullenbusch from Institut de Physique du Globe de Paris, France; Dr. Taku M. Saitoh from Gifu University, Japan; Dr. Jauhari Syamsiyah from Sebelas Maret University, Indonesia; and Dr. James MacGregor from Eco-Plannet, Canada. List of Committee of the 8th ICCC 202 is available in this 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 | 0.001 | 0.008 |
| 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 | 0.004 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.524 | 0.354 |
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".