The ‘state’ of degrowth: Economic growth and the making of state hegemony in Turkey
Bibliographic record
Abstract
Critical perspectives on economic growth have laid bare the fragility of the assumed link between material growth and socio-ecological wellbeing. The appeal of economic growth, however, goes beyond the economic sphere. As a societal goal, growth is often mobilized to pre-empt and/or co-opt opposition around issues of social justice and redistribution. Not only does the constitution of growth as a collective goal serve to unite the internally fragmented sphere of the social and brush aside (class-based) distributional conflicts, but it also enables the distribution of material concessions to subordinate classes for eliciting their consent. The degrowth proposal should thus more broadly tackle the material and discoursive ways in which growth enables the reproduction of contemporary political-economic systems. This paper argues that the notion of growth functions as a powerful ideal that shapes state–society relationships and social-collective imaginations. It demonstrates this by discussing the making of state in Turkey through a Gramscian perspective, where the notion of economic growth is deeply imprinted in the broader practices of the state to legitimize its existence and dominates the social imaginary in a way that cannot be easily dismissed. Against this backdrop, the possibility of not only effectuating, but also imagining and desiring degrowth would call for a radical reconfiguration of state–society relationships. Within this context, the Kurdish Freedom Movement’s project of Democratic Economy emerges as an alternative, both to the nation-state paradigm and to the imperative of economic growth.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.012 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".