# Detector Classification Is Not Authorship Analysis by Bryant McGill > “Detector classification is not authorship analysis; it is pattern recognition performed after the causal history of the work has been discarded.” > **— Bryant McGill**, *The Argument in Miniature, 2026* ## Sources and Context - **Original authored source:** [[projects/The Argument in Miniature - How I Write Quotations, Paragraphs, and Reusable Prose|The Argument in Miniature]], “AI-assisted authorship and contextual gravity” (September 27, 2026). - **Exact wording:** “Detector classification is not authorship analysis; it is pattern recognition performed after the causal history of the work has been discarded.” - **Context:** The passage argues that a detector can classify statistical properties of present prose without recovering the engineering history, ontology, decisions and responsibility that caused the document to exist. ## Related Articles and Collections - **Collection:** [[collections/Simple Reminders|Simple Reminders]] - **Project:** [[projects/The Argument in Miniature - How I Write Quotations, Paragraphs, and Reusable Prose|The Argument in Miniature]] - **Essay:** [[This Is AI Generated|This Is AI Generated]] - **Project:** [[projects/Ten Years Building a Symbolic Language Engine|Ten Years Building a Symbolic Language Engine]] ## Related Topics - [[wiki/Classifier|Classifier]] - [[wiki/False Positive|False Positive]] - [[wiki/Provenance|Provenance]] ## Share on Social Media ``` “Detector classification is not authorship analysis; it is pattern recognition performed after the causal history of the work has been discarded.” — Bryant McGill, The Argument in Miniature, 2026 https://bryantmcgill.com/simple-reminders-bryant-mcgill-detector-classification-not-authorship-analysis ```