SocioLens — RO-LD07-02: Does quantization or the serving engine change social-science findings?

urn:uuid:87c05756-e713-5e49-a153-2ac515dccfba SocioLens — RO-LD07-02: Does quantization or the serving engine change social-science findings? New versions of this research opportunity and changes to the claims it rests on. 2026-10-13T00:00:00Z SocioLens urn:uuid:a63c222f-722d-5eaf-840f-bdbd31678fe4 Research opportunity revised to v2: RO-LD07-02 — Does quantization or the serving engine change social-science findings? 2026-10-13T00:00:00Z

Literature check added: a second, deeper search for existing work, with its queries, new nearest work and limits. The verdict changed from "No study found doing the core design" to "Related work exists" because related work turned up; the question stands.

urn:uuid:8c7a03c5-6067-5910-86e7-2ac22f187223 New research opportunity: RO-LD07-02 — Does quantization or the serving engine change social-science findings? 2026-10-12T00:00:00Z

With weights, prompts and hardware held fixed, do fp16, 8-bit and 4-bit builds of open-weight models, and different inference engines, change substantive estimates on published annotation and synthetic-respondent tasks more than prompt paraphrasing does?