Imagination and transformations to sustainable and just futures
Bibliographic record
Abstract
The ability of individuals and groups to identify, assess, and pursue alternative possible futures is an essential component of their ability to deliberately and collectively respond to major sustainability challenges rather than experience unguided or forced change. Deliberately engaging in transformation processes inevitably requires imagination. We refer to imagination for transformations as interdependent cognitive and social processes that create representations of present and possible future states of the world that can inform public deliberation, policy, decision making, and behavior from the individual to the global scale. We contend that imagination is an essential capacity for securing ecological, social, economic, and cultural well-being in times of rapid and often unpredictable global change. We sketch an emerging interdisciplinary research agenda on imagination as a transformational capacity and its role in transformation processes, building on contributions to a special issue on this subject. We specifically focus on imagination in relationship to transformative agency, causation, and individual-collective dynamics. Our aim is to identify research questions and challenges that are most pressing with a view to supporting efforts of transformations toward sustainability.
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.051 |
| Scholarly communication | 0.008 | 0.010 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".