Shaping the scientific future of environmental sciences in times of multiple crises: a summary of the 12th SETAC Young Environmental Scientists Meeting in Landau in der Pfalz 2023 -
Bibliographic record
Abstract
Abstract SETAC has a long-standing history of supporting students and early career scientists in the fields of ecotoxicology and environmental chemistry. The Student Advisory Council (SAC) advocates for the diverse interests of young SETAC members offering guidance to peers and serving as a resounding voice for aspiring scientists in dialogues with the SETAC Europe Council. Founded and shaped by a rewarding liaison between SETAC Europe and its German Language Branch, the SAC now has a strong international representation, with its members being distributed all over Europe. With this publication, we want to build upon the relationship between the SETAC Europe students and the SETAC German Language Branch. The Young Environmental Scientists (YES) Meeting, which was first held as a regular conference 14 years ago, is a keystone event organized by the students of SETAC and the SAC. This year, in 2023, the 12th YES meeting took place in Landau in der Pfalz, Germany. Not only has it been the first European in-person YES Meeting since the COVID-19 pandemic, but with this year’s iteration, the YES meeting returned to its roots in Landau, where 2009 the very first YES meeting was hosted. From August 28th to September 1st, 107 participants from 37 countries and five continents had the opportunity to showcase their research in seven thematic sessions, engage in four workshops, listen to six expert/career talks, and two keynotes from established scientists. In reference to the meeting-motto science through crises, this comment pays special emphasis on topical program points in touching the ongoing multiple crises. We are convinced that sharing our experience from hosting this conference will underline the importance of continuing this unique meeting format and hopefully inspire future scientific events organized by students for students.
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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 | 0.016 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
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".