La esterilización del eco-criticismo: del desarrollo sostenible al capitalismo verde
Bibliographic record
Abstract
Development has been a dominant and highly visible trope of the global political and economic life of the world since the 1950s.As such it has been inevitably linked to some of the most important social processes of this era: colonialism, globalization, postcolonialism, global ecological crisis, the rise of environmentalism, and more.The consolidation of the contemporary consumer global society came, hand by hand, with the certainty that it sustained a way of life that as a collateral damage, included a global ecological crisis.From many quarters of the world new voices raised concerns about the costs of globalization and proposed alternatives and solutions: modern eco-criticism was born.This article analyzes the historical process of emergence of eco-critical concepts as well as on its appropriation, redefinition, and use by mainstream political and economic agents.Specifically we reflect on how "development" and "growth" under heavy criticism during the 70s were gradually transformed on "sustainable development" first, and, as the conversion was still raising significant disapproval, to "sustainability" later.The adoption of these new ideological frameworks to legitimize development allowed Western societies to dismiss more critical approaches such us "zero growth" or "de-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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.023 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".