Bibliographic record
Abstract
The First International Conference on Sustainable Applied Earth and Environmental Sciences (ICSAEES 2024) was held in hybrid mode at the Lakesource Publishing Company Conference Hall, Ikate Lekki, Lagos, Nigeria, from 27th to 29th August, 2024. ICSAEES 2024 is the maiden edition of the annual international conference initiated by the Society of Sustainable Applied Earth and Environmental Sciences (SSAEES) in collabration with the Lakesource Publishing Company (LPC). The aim of this conference is to gather new research contributions from all disciplines of Applied Renewable Energy and Environmental Earth Sciences by scientists from diverse backgrounds, and thus makes an essential contribution towards ensuring that science and technology contribute to the promotion of a more sustainable environment from different parts of the world. It is our belief that the proceedings in ICSAEES would help to address the numerous local and national challenges that are relevant to the realisation of the United Nation’s “Global Goals” generally referred to as Sustainable Development Goals (SDGs). The SDGs were crafted with the intention of ensuring better quality life, peace and prosperity for all people, as well as protecting and preserving our environment and planet in general. We appreciate all our Keynote Speakers: Prof. Mohammad Alam Saeed (Vice-Chancellor, University of Education, Lahore, Pakistan), Prof. K. Srinivas Reddy (Institute of Technology Madras, Chennai, India), Prof. Anand K. Plappally (Indian Institute of Technology, Jodhpur, India), Dr. Masood Yousaf (University of Education, Lahore, Pakistan), Dr. Anil Kumar (Delhi Technological University, Delhi, India), Dr. M. V. Reddy (Energy Storage Technology, New Graphite World, Quebec, Montreal, Canada) and Dr. Babatunde Abiodun Obadele (Botswana International University of Science and Technology, Palapye, Botswana; & University of Johannesburg, South Africa) for honouring our invitations and for the insightful experiences they have shared during the ICSAEES 2024. The Organising Team is happy to report success in the number of papers submitted and presented in the maiden edition of the ICSAEES 2024. We received 39 papers from Nigeria, India, Indonesia, South Africa and the United Kingdom. The papers were blinded peer reviewed by number of experts and revised by the authors prior to final acceptance of 19 papers. This present volume has an acceptance rate of 48.7%. The proceedings of the ICSAEES 2024 are published in the current volume of IOP Conference Series: Earth and Environmental Science, which are divided into five (5) Sections relating to Applied Earth and Environmental aspects of the SDGs as stated on the conference website (https://icsaees.com.ng/). The Sections are Applied Renewable Energy for Sustainable Development; Applied Earth Sciences for Sustainable Development; Applied Environmental Sciences for Sustainable Development; Applied Environmental Impact Assessment for Sustainable Development; and Applied Atmospheric Studies for Sustainable Development. Various topics presented in this volume will be useful to researchers, industrialists, experts, scholars, students, among others in the fields of Science, Engineering, Social Sciences, and associated fields in connection with the sustainability related issues. List ICSAEES 2024 Committee of Directors, Scientific Committee and ICSAEES 2024 Reviewers are 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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.405 | 0.265 |
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".