Gendered Design for Gendered Crisis: Women’s Experiences in Public Transport
Bibliographic record
Abstract
This paper presents findings from a research project that investigates the link between the design of public transport and women passengers' experiences of (risk of) sexual harassment.Sexual harassment in public transport is a particularly important topic to explore as a crisis situation, since women face sexual harassment widely while using public transport both in the contexts of the Global South and North.In the project, in-depth investigation of women's experiences via interviews was followed by an explorative design process, where designers responded to users' problems as well as strategies in their design proposals.The process had a participatory nature with the involvement of an urban planner, a member of a local feminist organisation as well as the reflections of a design manager from a leading bus manufacturing company.Drawing on multiple data sources elicited from designer and non-designer participants, this paper pulls together different parties' perspectives on the role of design in the solution of a gender-related social problem.Overall, the paper invites designers to explore the potential links between structural change and design applications in industry, making product design instrumental to policy planning and implementation for egalitarian and safe public transport.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.014 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 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 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".