Over the horizon: Exploring the conditions of a post-growth world
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
Maintaining steady growth remains the central goal of economic policy in most nations. However, as evidenced by the advent of the Anthropocene, the global economy has expanded to a point where limits to growth are appearing. Facing the end of growth requires a careful re-examination of plausible future conditions. We draw on a diverse literature to present an interdisciplinary exploration of post-growth conditions in the areas of climate change, ecological impacts, governance, and education, finding that such conditions may invalidate many prevalent assumptions regarding the future. The post-growth world, while subject to significant uncertainty and heterogeneity, will be characterized by profound hazards and discontinuities for both human and natural systems. Furthermore, we argue that an economic paradigm change will be predicated on an involuntary and unplanned cessation of growth. This implies a necessary strategic expansion of the heterodox economic discourse to formulate appropriate responses in view of likely post-growth realities.
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 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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