How many worlds are there? One, but also many: Decolonial theory, comparison, ‘reality’
Bibliographic record
Abstract
Contemporary political theory (CPT) has approached questions of plurality and diversity by drawing rather implicitly on anthropological accounts of difference. This was the case with the ‘cultural turn’, which significantly shaped theories of multiculturalism. Similarly, the current ‘ontological turn’ is gaining influence and leaving a marked impact on CPT. I examine the recent turn and assess both the possibilities it offers and the challenges it poses for decentering CPT and opening radical, decolonial avenues for thinking difference otherwise. I take Paul Nadasdy's critique of the ontological turn as an invitation to reflect on the methodological precepts that inform how the field frames the scope and limits of comparison. In pursuit of this, I examine the Zapatistas’ notion of a ‘world of many worlds’, which provides a way of approaching difference that captures the generative aspects of the ontological turn while avoiding the pitfalls of relativism and political inertia. I argue that the Zapatistas’ insights offer ethical guidance towards social and ecological thriving. Ultimately, my goal is to move CPT towards a more capacious form of making sense of what is out there in the world, and thus make room for better ways of inhabiting the Earth.
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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 | 0.015 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.012 | 0.128 |
| Scholarly communication | 0.023 | 0.042 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 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".