Critical by design: Fostering responsible innovation with critical design methods
Bibliographic record
Abstract
Summary form only given, as follows. A complete record of the panel discussion was not made available for publication as part of the conference proceedings. Design theorist Matt Malpas suggests that critical design is “less about problem solving and more about problem finding.” Rather than offering solutions or efficiencies, critical designers develop projects that provide time and space to reflect on specific issues, most often problems related to technological progress. This creative practice can be integrated into the design workflow as a way of exploring and mitigating the potential social and environmental impacts of technological innovations. In this 90-minute workshop, participants will be introduced to critical design methods and apply them in small group projects to create speculative scenarios and objects-to-think-with that promote reflection on key topics in responsible innovation. The workshop will provide participants with skills that can be applied in their own research, design and innovation contexts.
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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 | 0.094 | 0.098 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.004 | 0.013 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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".