Happy Environments: Bhutan, Interdependence and the West
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
There is a growing trend to understand economic and environmental policies in terms of multiple dimensions and “interdependence.” Bhutan is increasingly seen as an operational model with its Gross National Happiness (GNH) strategy. GNH, which is rooted in Mahayana Buddhism, is a framework and set of policy tools that conceptualizes sustainability as interdependent ecological, economic, social, cultural and good governance concerns. Bhutan’s practical GNH experience illustrates a significant ability to positively couple economic growth with a healthy environment. Can the “West”—with its legacy of either/or economics—learn anything from Bhutan’s multidimensional policy experiment? At first, it would seem not. It is questionable whether the West can replicate Bhutan’s unorthodox policy tools as we do not have a balancing set of Buddhist values rooted in mainstream culture. We are not equipped to respond to the many unintended consequences of interdependent policy because we do not yet understand what “interdependence” actually entails. There is hope, but much of it exists in the grey literature of ecological economics. This literature is in urgent need of greater exposure if we are to imagine and enact sustainability policy tools that are truly sensitive to interdependence, and thus follow Bhutan on its perilous but necessary journey.
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 | 0.001 |
| 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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