Special issue: the poverty-inequality-environment frontier in the age of the crises
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
This Special Issue is part of a joint initiative on “Financial Crises, Poverty, and Environmental Sustainability” by the Sussex Sustainability Research Project (SSRP) of the University of Sussex, the UNDP-UNEP Poverty-Environment Action for Sustainable Development Goals, and the United Nations Research Institute for Social Development (UNRISD). The aim of the project is to foster an evidence-based understanding of the multiple and complex ways in which poverty and environmental dynamics interact in moments of economic crises and how this interaction can be managed in a way that facilitates the transition to sustainability. The Special Issue includes the following papers: 1. The Great Stagnation and environmental sustainability: A multidimensional perspective Bernardo Cantone, Alexander S. Antonarakis, Andreas Antoniades (University of Sussex) 2. Confronting inequality in the ‘New Normal’: hyper-capitalism, proto-socialism and post-pandemic recovery Tim Jackson (University of Surrey), Peter A. Victor (York University, Toronto) 3. Transformative social policies as an essential buffer during socio-economic crises Isabell Kempf, Paramita Dutta (UNRISD) 4. Alleviating debt distress and advancing the Sustainable Development Goals Howard Haughton (King’s College London), Jodie Keane (Overseas Development Institute - ODI) 5. Bracing for the typhoon: Climate change and sovereign risk in Southeast Asia John Beirne, Nuobu Renzhi (Asian Development Bank Institute, Tokyo), Ulrich Volz (SOAS) 6. Climate shocks and poverty persistence: Investigating consequences and coping strategies in Niger, Tanzania, and Uganda Vidya Diwakar, Antoine Lacroix (Overseas Development Institute – ODI) 7. Class and climate change adaptation in rural India: Beyond community-based adaptation models Maryam Aslany (University of Oxford), Shannon Brincat (The University of the Sunshine Coast)
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 | 0.000 | 0.003 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.132 | 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