Understanding people’s needs in a commercial public space
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Adapting public spaces for persons with disabilities can be both physically and socially challenging. The two pilot studies presented explore the existing physical conditions of the mall and the social experiences of the mall users as these are documented and experienced by them. The research goals include understanding the physical characteristics of the mall, how access happens, what people experience in real time when going to the mall and what this might mean in terms of issues of social construction of space and personal lived experiences. In both pilot studies, the methods included visual documentation and content analysis of the existing spaces and their design, followed by live in-mall walk-abouts with participants, during which narratives of the experiences were recorded. Researchers engaged collaboratively with participants to understand the experiences, challenges and situations they experienced. Participants include persons with reduced vision or severe vision loss and persons in motorized wheelchairs. Results reveal issues of lack of accessibility, poor contrast and issues of way-finding. Social stigmas add to mall experiences and participants nevertheless reveal the value of the social experiences despite the mall elements hampering their access.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it