Spatialising differently through ability and techné
Bibliographic record
Abstract
This paper reflects on multisensorial and multimodal processes by considering spatial design differently through three case studies in Canada and Belgium that involved persons with visual impairments. Our research provokes alternative ways of ‘seeing’ and ‘being’ in the world and we assert that the normative ways that designers think, act, and design for/with people who have disabilities can be shifted when considering ableism and techné together. Our studies and methods differ from other design processes and methods, in that we situate design within an understanding of ableism and techné, where we encourage designers to reflect upon their ability biases in order to break assumptions about the abilities and disabilities of users and/or codesigners. Through exploring, observing and creating, nuanced examinations into ability and techné are revealed that support an intimate bond and an empathic response towards shaping the designers’ understanding of participants embodied and practical knowledge. Our case study research expands the ways of knowing and doing in codesign through ableism and techné with people who are visually impaired, to create inspiring and meaningful designs through multisensorial processes that are inclusive of ‘seeing’ in order to spatialise differently.
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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 | 0.008 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.039 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".