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In this research, we assess the capability and potential of a crowd of virtual workers-defined as vetted people in well-known crowdsourcing platforms-to help with the duty of diagnosing autism. We evaluate workers when crowdsourcing the duty of supplying categorical ordinal behavioral ranks to unstructured community YouTube movies of children with autism and neurotypical controls. To evaluate rising patterns which can be constant across independent crowds, we target emplo