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Audit and editorial provenance
Summary
Machine-generated audit of the draft articles against editorial rules and transcript evidence; identifies minor issues and confirms revisions made.
Audit summary: I reviewed the draft articles against the transcript and the editorial checklist (spelling, clarity, chronology, framing, misinformation, misidentification, out_of_context, quantitative precision, process clarity, context clarity, agency clarity, question emphasis, omission, bias, duplicate). I corrected issues found in the first draft before producing this final package.
Key audit items addressed included clarifying that speaker identities are functional labels drawn from transcript cues (no speaker self-identification was present), avoiding invented dates or facts (date left as not specified where not in transcript), and adding precise verbatim quotes with correct attributions to the speaker labels used in the transcript. I also flagged that statutory citations referenced by speakers were not present in the transcript and recommended verification before publication.
AI generated
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