Reclassifying autism may reveal distinct types, reshaping support systems and diagnostic frameworks.
Original framing: “What if the idea of the autism spectrum is completely wrong?” — New Scientist
Emerging neurobiological and genetic studies indicate multiple etiological pathways, supporting the proposal of distinct autism subtypes rather than a single spectrum. Large‑scale cohort analyses and machine‑learning clustering provide empirical grounding for this reclassification, while also exposing methodological gaps in current diagnostic tools. The scientific dimension validates the call for more granular, evidence‑based categories.
Reclassifying autism into distinct subtypes integrates scientific breakthroughs with Indigenous relational wisdom, historical awareness, and artistic insight, producing a more nuanced understanding of neurodiversity.
By foregrounding marginalised voices and employing a trickster lens, the approach reveals hidden inequities within the current spectrum model and warns against new forms of segregation. Future modelling underscores the need for adaptable policies and education systems that can evolve alongside emerging evidence. Together, these dimensions point toward a participatory, culturally responsive framework that balances precision with inclusivity.