Guidelines of inclusive architecture design for autism spectrum disorder: What is new?
Bibliographic record
Abstract
Introduction Autism spectrum disorder (ASD) is a complex neuro-developmental condition. According to the Diagnostic and Statistical Manual of Mental Disorders (DSM-5), restricted interests and repetitive behaviors and difficulties with social communication and interaction characterize ASD. Different ways of learning, moving, or paying attention are related to the degree of impairments. By reducing environmental and social obstacles in school, work, and other areas of life, architecture could play a pivotal role in helping people on the spectrum become more independent and acquire more abilities. Objectives The aim of this study was to outline the recommendations and guidelines of the inclusive architecture design for ASD. Methods We conducted a comprehensive review of the scientific literature using the following keywords: inclusive design, architecture, autism or ADS. Results Our research found that the Autism ASPECTSS design index reported in 2013 by Magda Mostafa from Canada, which was based on the sensory design theory, is the world’s first set of evidence-based design guidelines for managing built environments to serve ADS individuals interaction, particularly in schools and workspaces. ASPECTSS conceptual framework delineate seven design concepts: acoustics, spatial sequencing, escape space, compartmentalization, transition spaces, sensory zoning, and safety. In 2023, the same author published an autism friendly design guide for the world’s first autism-friendly university. This guide is characterized by a better understanding of human-centered design and advocates beyond the mere inclusion, aspiring to a state where the boundaries between ‘normal’ and ‘special’ are blurred in order to treat all users as human beings with equal rights, thus calling for equal opportunities beyond the ADS spectrum. Conclusions With such well-established conceptual framework, it is nowadays imperative to expand our buildings in cities, schools, workplaces, hospitals, and public areas using the guidelines of autism-friendly environments. These buildings will enhance our individual and social well-being. Disclosure of Interest None Declared
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 | 0.039 | 0.098 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.010 | 0.005 |
| Science and technology studies | 0.004 | 0.008 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.007 | 0.006 |
| Research integrity | 0.009 | 0.009 |
| Insufficient payload (model declined to judge) | 0.003 | 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".