Pluriversal Futures for Design Education
Bibliographic record
Abstract
The Future of Design Education working group on pluriversal design—with members from Latin America, the Caribbean, Africa, South and Southeastern Asia, North America, Oceania, and Europe—developed recommendations for higher education design curricula. The group addresses the dominance of a Eurocentric design canon and worldwide colonization by a twentieth-century design monoculture grounded in the concept of universal human experience. Curricular recommendations honor Indigenous worlds and place-based ways of being, and chime with anthropologist Arturo Escobar’s premise that every community practices the design of itself, through participatory processes that are independent of experts. The authors posit that rather than a Cartesian rationalist perspective, the group advocates a relational view of situations in which the design responses to interdependent natural, social, economic, and technical systems, are specific to places and cultures. The recommendations assert a pluriversal design imperative in which multiple worldviews thrive and diverse lived experiences inform the entire field, as well as individual projects.
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 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 | 0.016 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.009 |
| Scholarly communication | 0.015 | 0.017 |
| Open science | 0.002 | 0.016 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.075 | 0.008 |
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".