Social-ecological change: insights from the Southern African Program on Ecosystem Change and Society
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
Social-ecological systems (SES) research has emerged as an important area of sustainability \nscience, informing and supporting pressing issues of transformation towards more sustainable, \njust and equitable futures. To date, much SES research has been done in or from the Global \nNorth, where the challenges and contexts for supporting sustainability transformations are \nsubstantially different from the Global South. This paper synthesises emerging insights on SES \ndynamics that can inform actions and advance research to support sustainability transformations \nspecifically in the southern African context. The paper draws on work linked to members \nof the Southern African Program on Ecosystem Change and Society (SAPECS), a leading SES \nresearch network in the region, synthesizing key insights with respect to the five core themes of \nSAPECS: (i) transdisciplinary and engaged research, (ii) ecosystem services and human wellbeing, \n(iii) governance institutions and management practices, (iv) spatial relationships and \ncross-scale connections, and (v) regime shifts, traps and transformations. For each theme, we \nfocus on insights that are particularly novel, interesting or important in the southern African \ncontext, and reflect on key research gaps and emerging frontiers for SES research in the region \ngoing forward. Such place-based insights are important for understanding the variation in SES \ndynamics around the world, and are crucial for informing a context-sensitive global agenda to \nfoster sustainability transformations at local to global scales.
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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 | 0.000 | 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) | 0.001 | 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