quant-findings-writer

To draft publication-ready findings sections from statistical outputs, provide your tables, figures, and interpretation memos. The system translates these statistical outputs into structured, narrative prose aligned with canonical arc progressions for quantitative sociology articles.

The canonical arc structure for quantitative sociology findings follows a DESCRIBE, BASELINE, ELABORATE, MECHANISM, and ROBUSTNESS progression. This framework guides paragraph budgets and narrative framing to translate statistical outputs into a cohesive publication-ready section.

Yes, you can use Stata and R analysis outputs for quantitative findings writing. The process directly integrates upstream outputs generated from r-analyst or stata-analyst workflows, converting them into structured narrative prose for publication-ready sections.

Yes, this approach supports content-analysis and administrative-data projects. It translates statistical outputs from secondary-survey-analysis, administrative-data, and content-analysis projects into publication-ready findings sections using targeted robustness checks and table-driven storytelling.

The best way to structure a findings section from quantitative statistical tables is applying a move-based arc. This allocates paragraph budgets across baseline descriptions, elaborations, mechanisms, and robustness checks, ensuring integrated theory linking and table-driven storytelling.

You track progress artifacts when drafting quantitative findings sections via a progress.yaml file. This file monitors the progression of cluster-based arc planning and the translation of statistical outputs into publication-ready narrative framing.