Editorial to the first issue of modeling earth systems and environment
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
On behalf of the Editorial Board and my Co-Editors-in-Chief Julian Aherne, Daisuke Kitazawa and Ruud J. Schotting, I am delighted to present the inaugural issue of Modeling Earth Systems and Environment (MESE), published by Springer International Publishing. After years of preparation, we are very proud to launch this new journal, which will serve as a comprehensive, interdisciplinary and international platform for exchanging ideas on the development and use of models for the assessment and analysis of earth systems and environmental issues. This inaugural issue demonstrates how wide-ranging and diverse the interests of the community have become and its articles truly represent the broad landscape of modeling approaches today. MESE is published as a subscription journal with Open Choice, which means that publishing an article is free of charge for the authors, unless they would like to publish their article as an open access article via Springer’s Open Choice program. To promote this new journal, Springer is granting permanent free access to all articles published during 2015 and 2016. We will endeavor to publish four issues a year, including special issues consisting of a selection of articles arising from conferences or by announcement.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it