The science-policy interface on ecosystems and people: challenges and opportunities
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
Introduction \nThe complex links and feedbacks between ecosystems and people are now sharply in focus. Our growing understandings of the complex relations between ecosystems and people, the social and ecological drivers of changes in nature, and the different dimensions of a good quality of life, from local to global scales, have made these interdependencies ever more visible (IPBES 2019; Díaz et al. 2019). Furthermore, recent studies have revealed how dramatically unsustainable and inequitable the interactions between ecosystems and people are, as a result of a long legacy of consumerism and utilitarianism, patriarchy and colonialism, and the global expansion of production-oriented relationships with nature. \n \nIn embracing the new name and scope of the Journal Ecosystems and People (Martín-López et al. 2019) a special issue was launched in 2018 to gather and synthesize the findings, insights and experiences gained in science-policy interfaces regarding ecosystems and people, with a special emphasis on the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES). We invited scientific contributions and contributions from non-academic authors, on the process, theory, and outcomes of IPBES as well as on other science-policy interfaces. Following the approach of the journal, the special issue aimed for a diverse distribution of authors based on gender, region, ethnicity and seniority as contributors. \n \nIn this introductory paper, we synthesize the insights gained through this special issue. We identify four key challenges, as well as opportunities and strategies to overcome them, which are presented below. These challenges and exemplary strategies were drawn from a series of collaborative contributions from authors around the world, involving work at different science-policy interfaces, and including a range of professional and disciplinary backgrounds among scientists, sectors of society, types of knowledge and spatial and temporal scales. Close to 100 authors, from nearly 30 different countries, encompassing all continents, from a wide range of career stages participated in this special issue. They belong to a wide range of academic, education, governmental, civil society and consulting organizations and provide a rich overview of how science-policy interfaces advance research on ecosystems and people.
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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 | 0.001 | 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