Bibliographic record
Abstract
The Geography Education Program, Faculty of Teacher Training and Education, Sebelas Maret University has successfully held an “International Conference on Anthropocene, Global Environmental Change and Powerful Geography (ICoAGPG)” via the online zoom system on August 27 th , 2022. ICoAGPG aims to disseminate research results, various ideas on controlling environmental degradation and climate change for a better life and providing input to the government and other policy-making institutions in environmental management to anticipate climate change. The theme of 2022 is the relational understanding of extractive industries, climate change and exacerbation of natural disasters and social injustice. ICoAGPG invited great speakers who are very competent in the global environmental impacts, and they are Prof. Tania Murray Li (University of Toronto, Canada), Dr. Janice Lee (Nanyang Technology University, Singapore), Dr. Erma Yulihastin (Research Center for Climate and Atmosphere, National Research and Innovation Agency), Dr. Yasin Yusup, M.Si (Sebelas Maret University). Topic issues for this seminar are land degradation and land conservation, biodiversity and ecosystem services, forest-based adaptation, hydro-meteorological, biological, and geographysical disaster, water resource management, integrated coastal zone management, air pollution, greenhouse effect and Urban Heat Island (UHI), mitigation and adaptation to climate change, climate change policy, social safety nets and livelihood diversification, environmental economic and law, education for sustainable development, regional planning for disaster management, disaster risk management, resilient cities and communities, green infrastructure and sustainability, sustainable land use and urban planning. There were 86 articles submitted according to the topic above, and after being selected, there were 62 articles chosen to be presented and submitted to the IOP-EES Proceedings. Article authors consist of lecturers, practitioners, teachers and students. The participants who joined at the time of the seminar was 166 participants. Thanks to all of the speakers, authors and participants. See you at the second ICoAGPG. Best Regards Dr. Pipit Wijayanti, S.Si., M.Sc Chair of the committee List of Committee, International Conference on Anthropocene, Global Environmental Change and Powerful Geography (ICoAGPG) 2022 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 | 0.001 | 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 | 0.005 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.571 | 0.381 |
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".