Tactic: Label every sentence of one paper with its rhetorical role using Argumentative Zoning. Use when fixed rhetorical labels and cross-paper alignment matter.
Scanned 9/5/2026
Install to Claude Code
npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill argumentative-zoning --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: argumentative-zoning
description: 'Tactic: Label every sentence of one paper with its rhetorical role using Argumentative Zoning. Use when fixed rhetorical labels and cross-paper alignment matter.'
version: 1.0.0
category: paper-reading
type: tactic
execution: tactic
input: 'paper_ref (string), scope (string: "full_text" | "abstract" | "intro_only", default "full_text")'
output: '01-unit-segmentation.json and 02-unit-classification.json under context/papers/<dir>/argumentative-zoning/'
sops:
- paper-fetch
- unit-segmentation
- unit-classification
dependencies:
sops:
- paper-fetch
- unit-segmentation
- unit-classification
---
# Argumentative Zoning
## Orchestration Pattern
1. Fetch the paper; stop on `not_found`.
2. Segment the requested scope with sentence granularity and preserve
`{line, start, end}` offsets. Write `01-unit-segmentation.json`.
3. Classify every unit with `label_set: argumentative-zoning`,
`hierarchy_toggle: false`, and `output_type: single_label`. Write
`02-unit-classification.json`.
Use exactly AIM, BACKGROUND, OWN, CONTRAST, BASIS, TEXTUAL, and OTHER. Every
sentence receives one label; use OTHER rather than skipping an uncertain
unit. Narrow scopes are valid but not distributionally comparable to a
full-text run.
Report scope, sentence count, zone counts, empty zones, and both paths.
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