SF2A Environmental Transition Commission: What kind of astrophysics research for a sustainable world?
Bibliographic record
Abstract
During its annual conference in 2024, the French Society of Astronomy \& Astrophysics (SF2A) hosted, for the fourth time, a special session dedicated to discussing the environmental transition within the French astrophysics research community. This year had a special context: both the CNRS-INSU and the CNES were preparing their scientific perspectives for the period 2025-2030 in the field of Astronomy-Astrophysics (AA). In this proceeding, we first describe the main actions undertaken by the Commission Transition Environnementale. Then, we summarize the discussions held during the half-day workshop, which brought together about 100 participants, and point to forthcoming proceeding, reports and other related resources. A key message is that the French A\&A community is now fully aware that astronomical activities simply cannot thrive indefinitely in the current situation, and seems now eager to seize the opportunity of developing our profession towards a better social and environmental impact.
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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 | 0.015 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.015 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.011 | 0.008 |
| Insufficient payload (model declined to judge) | 0.018 | 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".