Bibliographic record
Abstract
The ubiquity of the commitment to economic growth, which Purdey refers to as the growth paradigm, is extraordinary. National governments around the world are seized of the same objective. Major international institutions such as the UN, the WTO, the World Bank, IMF and OECD, powerful international organizations such as regional trading blocs and multinational corporations – even civil societies of all kinds enthusiastically pursue a larger economic pie. This book examines the deep origins and rise to prominence of the commitment to economic growth. It explains why, despite the diversity of regime types, levels of development, cultures and other divisions typical of international relations, all major actors in the modern global polity pursue an identical political priority. Purdey critically examines the growth paradigm highlighting its normative foundations and its environmental impact, especially climate change. Using a neo-Gramscian approach, Purdey re-engages the ‘limits to growth’ controversy, identifying the commitment to growth as a form of utopianism that is as dangerous as it is seductive. By illuminating and interrogating the history, politics and morality of the growth paradigm, this book shifts the terrain of the limits debate from instrumental to ethical considerations. It will be of interest to students and scholars of political economy, international relations, environmental studies and ethics.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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".