A Manifesto for Abundant Futures
Bibliographic record
Abstract
The concept of the Anthropocene is creating new openings around the question of how humans ought to intervene in the environment. In this article, we address one arena in which the Anthropocene is prompting a sea change: conservation. The path emerging in mainstream conservation is, we argue, neoliberal and postnatural. We propose an alternative path for multispecies abundance. By abundance we mean more diverse and autonomous forms of life and ways of living together. In considering how to enact multispecies worlds, we take inspiration from Indigenous and peasant movements across the globe as well as decolonial and postcolonial scholars. With decolonization as our principal political sensibility, we offer a manifesto for abundance and outline political strategies to reckon with colonial-capitalist ruins, enact pluriversality rather than universality, and recognize animal autonomy. We advance these strategies to support abundant socioecological futures.
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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 | 0.012 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.018 |
| Scholarly communication | 0.010 | 0.014 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".