Design enabled: the everyday refuge for a neuro-inclusive city
Bibliographic record
Abstract
One of the most pressing issues within the built environment is the ever-evolving conversation of accessibility and its relationship to obsolete building standards from the past. Standards such as the Ontario Building Code and the Accessibility for Ontarians with Disabilities Act (AODA) provide insufficient solutions to users with invisible disabilities, particularly the underrecognized realm of neurodiversity. This thesis explores the possibility for a new set of design guidelines, adopting principles to enable the users’ senses and, in turn, create a neuro-inclusive environment. It also presents the design of a neuroinclusive library centre with a secondary urban park to mitigate the challenges neurodivergents experience at both a human and city-wide scale. By designing a community-oriented project within the already-established arts and cultural hub of downtown Sudbury, this thesis creates a network of inclusive, user-centered, and sensorial design that can begin to decode the issue of accessibility
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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.034 |
| Scholarly communication | 0.019 | 0.012 |
| Open science | 0.002 | 0.022 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.015 | 0.004 |
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".