Learning for Sustainability: Considering Pathways to Transformation
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 face increasing disruptions and challenges, many deriving from human actions, and learning is frequently touted as “the way out” for addressing them. Using a systematic review of 26 studies that span about 20 years and cover four continents, this article interrogates the link between learning, action, and societal transformation toward sustainability. Transformative learning theory provides the analytical framework. Studies indicated abundant instrumental learning outcomes, and substantial communicative learning, while personal transformation was less common. Individual, interpersonal, and collective sustainability action resulted from various kinds of learning, underscoring the important role that learning can play in shaping individual sustainability behavior. Instrumental learning, in particular, provided the skills and knowledge necessary for action. While study findings confirm the fundamental importance of learning, actions were largely individual and had lesser impact at the societal level.
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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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