A Spectacular Eco‐Tour around the Historic Bloc: Theorising the Convergence of Biodiversity Conservation and Capitalist Expansion
Bibliographic record
Abstract
Abstract: The simultaneous proliferation of protected areas for biodiversity conservation and neoliberal market expansion has sparked a growing body of work, which suggests that these are mutually reinforcing processes that reflect alliances between conservationist and capitalist agendas. Because this alliance is so counter intuitive to the ways in which biodiversity conservation is popularly understood, theoretical perspectives concerning these relationships have been slow in emerging. Drawing from Gramsci's ideas of hegemony and historic bloc, we propose a theoretical framework systematically to inform understandings and investigations of these transformations. We suggest that they are driven by the convergence of networks of interests, which work to resolve the apparent contradictions between demands for continued economic growth and growing concerns about what it portends for the future of our planet. These in turn rely on spectacular presentations of conservation interventions, conservation success stories, and their putative linkages to ecosystems and the global economy.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.044 |
| Scholarly communication | 0.007 | 0.011 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".