Grabbing ‘Green’: Cynical Reason, Instrumental Ethics and the Production of ‘the Green Economy
Bibliographic record
Abstract
This paper traces the institutionalization of Environmentalism as a pre-condition for the production of ‘The Green Economy,’ particularly the containment of the oppositional possibilities of an environmentalist politics within the institutional and organizational terrain of a transnational managerial and capitalist class. This is a context in which many environmental organizations – once the site of planning, mobilizing and implementing opposition and resistance to the environmentally destructive practices of corporate industrialism – have become part of a new project of accumulation grounded in enclosure, access and the production and exchange of new environmental commodities. This transformation reflects what Sloterdijk (1988) has termed cynical reason – an enlightened false consciousness; and my concern in the paper is to think through ‘The Green Economy’ and its coincident instrumental ethics as an iteration of cynical reason and an expression of institutionalized power. Specifically, I focus on the development of ‘global environmental governance’ as a statist project that concentrates sanctioning authority and resource allocation in centers of accumulation (e.g., the Convention on Biological Diversity and its funding mechanism the Global Environment Facility) and facilitates the containment of Environmentalism as an oppositional politics through demands that it assume conventional forms of organization, projectification and professionalisation and through facilitating a redefinition and redeployment that shifts environmentalism from a space of hope to an instrumentalist mechanism in rationalist projects of accumulation.
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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 | 0.009 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.099 |
| Scholarly communication | 0.012 | 0.011 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.005 | 0.006 |
| 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 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".