AI as second coder - never the author | DATASPHERES AI - Dataspheres AI

AI can propose coded segments against your codebook at corpus scale - hundreds of quote-anchored segments across languages in an afternoon. The discipline...

AI can propose coded segments against your codebook at corpus scale - hundreds of quote-anchored segments across languages in an afternoon. The discipline that makes this legitimate: Every application stores the exact quote + character offsets + memo + confidence - auditable, filterable, rejectable. Treat machine coding exactly like a new research assistant first pass: intercoder review accepts, refines, or rejects each segment. Cap confidence on low-fidelity sources and prefix their memos (e.g. "LOFI ASR - verify with native speaker"). Raw data fans out to thematic analysis, metadata tagging, and meta-analysis - triangulation the platform keeps connected.