Introduction: Making Worlds in the Pluriverse
Bibliographic record
Abstract
In 1996, the Zapatista uprising in Chiapas (Mexico), formed by peoples of Mayan descent, declared that in “the world we want, everybody fits. The world we want is a world in which many worlds fit.” Since then, their vision of “a world where many worlds fit” has given rise to the concepts of the pluriverse and pluriversality. The concept of the pluriverse has gained interest worldwide with texts such as Design for the Pluriverse , Constructing the Pluriverse , A World of Many Worlds , and Pluriverse: A Post-Development Dictionary , bringing broader attention to the work done by many activists, peasant, and Indigenous groups in Latin America and beyond. It is no surprise that the concept of the pluriverse has been embraced in non-Western parts of the world. In turn, our special issue asks: What is the pluriverse in North America, arguably one of the centres of Western, Eurocentric power? The artistic and scholarly contributions that make up this special issue investigate the crossroads, the encounters, the divergences and convergences that build new possible worlds, and the friction of incommensurabilities, in a North American context, and illustrate the potential worlds that we, as humans, non-humans, and more-than-humans alike, could share.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".