Please wait while we gather all the unique runs for this blueprint.
Please wait while we gather all the unique runs for this blueprint.
Please wait while we find all executions for this version.
Tests whether models correctly apply community-specific language preferences rather than universal person-first or identity-first rules. Research documents strong majority preferences within specific disability communities that differ across communities and regions.
Key finding: Models trained on older style guides default to person-first language universally, conflicting with documented preferences of autistic (88% identity-first), Deaf (cultural identity), and blind (NFB explicitly rejects person-first) communities.
Sources:
Showing all recorded executions for Run Label core-run_06c644b75d2fd46a.