Envisioning Post-Apocalyptic Futures: A Speculative Design Toolkit for Non-Designers
Bibliographic record
Abstract
This thesis discusses the applications of speculative design within a non-design context, examining the potential of speculative design as a medium in expressing postapocalyptic environmentalist visions of the future.This thesis primarily consists of literature reviews and analysis of environmental futures and current speculative and foresight methods to understand the current barriers post-apocalyptic environmentalists face when attempting to imagine their versions of the future as well as how speculative design and design foresight methods could address these barriers.Finally, this thesis concludes with a proposal for a toolkit that adapts methods from speculative design and design foresight to deconstruct speculative design as a practice used only by experts into a medium that non-designers can potentially practice their work through.
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 | 0.089 | 0.077 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.007 | 0.043 |
| Scholarly communication | 0.021 | 0.031 |
| Open science | 0.004 | 0.014 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".