Ecology for a social revolution: Re-defining the role of ecological and environmental science professionals and their responsibilities towards society
Bibliographic record
Abstract
The sixth mass extinction and the ongoing biodiversity and climate crises demand urgent action from ecologists and environmental scientists (EESs). Despite their critical role in addressing these challenges, EESs face unclear professional responsibilities towards society, local communities and ecosystems. The 2024 ANdiNA workshop was held in Conguillío National Park in Chile, within Wallmapu the ancestral land of the Mapuche people. It gathered global EESs to explore the roles, obligations and accountability of professionals in this field. The discussions focused on the evolving responsibilities of EESs amidst the environmental crises, as well as the need for clearer frameworks to guide their actions. Key questions included the scope of EESs' professional activities, how their obligations should adapt during times of crisis and whether they should be held accountable for scientific mistakes that lead to negative societal outcomes. The workshop explored the potential for creating a codified framework, such as an oath or manifesto, to clarify EESs' professional responsibilities. Participants highlighted the importance of integrating financial, intellectual, ethical and institutional dimensions in defining these roles, particularly in how EESs engage with local communities and society. Emerging themes included the need for a shared framework to align EESs' actions, exemplified by the Conguillío Statement , which encourages collaboration, inclusivity and ethical engagement with communities, especially Indigenous ones. The workshop also emphasised the importance of solution-orientated, transformative research and advocacy, calling for a shift in how EESs approach their roles as agents of change. By critically reflecting on their responsibilities, the workshop provided a foundation for re-imagining the role of EESs in the face of global environmental crises, urging systemic, collaborative approaches to safeguarding both nature and humanity.
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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 | 0.029 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.020 | 0.100 |
| Scholarly communication | 0.027 | 0.029 |
| Open science | 0.002 | 0.026 |
| Research integrity | 0.008 | 0.015 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".