6d261ce801
- Correct source accessibility: distinguish circular verification (forbidden) from exclusive information advantage (encouraged) - Add Counter-Review Team with 5 specialized agents (claim-validator, source-diversity-checker, recency-validator, contradiction-finder, counter-review-coordinator) - Add Enterprise Research Mode: 6-dimension data collection framework with SWOT, competitive barrier, and risk matrix analysis - Update version to 2.4.0 - Add comprehensive reference docs: - source_accessibility_policy.md - V6_1_improvements.md - counter_review_team_guide.md - enterprise_analysis_frameworks.md - enterprise_quality_checklist.md - enterprise_research_methodology.md - quality_gates.md - report_template_v6.md - research_notes_format.md - subagent_prompt.md Based on "深度推理" case study methodology lessons learned. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
148 lines
6.0 KiB
Markdown
148 lines
6.0 KiB
Markdown
# Research Notes Format Specification
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The research notes are the ONLY communication channel between subagents and
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the lead agent. Every fact in the final report must be traceable to a line in
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these notes. No exceptions.
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## File Structure
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```
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workspace/research-notes/
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task-a.md Subagent A writes (history expert)
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task-b.md Subagent B writes (transport historian)
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task-c.md Subagent C writes (telecom analyst)
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task-d.md Subagent D writes (comparative analyst)
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registry.md Lead agent builds from task-*.md (P3)
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```
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## Per-Task Notes Format
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Each `task-{id}.md` file follows this exact structure:
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```markdown
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---
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task_id: a
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role: Economic Historian
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status: complete
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sources_found: 4
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---
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## Sources
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[1] Before AI skeptics, Luddites raged against the machine | https://www.nationalgeographic.com/... | Source-Type: secondary-industry | As Of: 2025-08 | Authority: 8/10
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[2] Rage against the machine | https://www.cam.ac.uk/research/news/rage-against-the-machine | Source-Type: academic | As Of: 2024-04 | Authority: 8/10
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[3] Luddite | https://en.wikipedia.org/wiki/Luddite | Source-Type: community | As Of: 2026-03 | Authority: 7/10
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[4] Learning from the Luddites | https://forum.effectivealtruism.org/... | Source-Type: community | As Of: 2025-10 | Authority: 6/10
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## Findings
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- Luddite movement began March 11, 1811 in Arnold, Nottinghamshire. [3]
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- Luddites were skilled craftspeople, not anti-technology extremists. [1][2]
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- In the 100M-person textile industry, Luddites never exceeded a few thousand. [2]
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- Government crushed movement: 12 executed at York Assizes, Jan 1813. [3]
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- Movement collapsed by 1817 under military repression. [1]
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- Full textile mechanization transition took 50-90 years (1760s-1850s). [4]
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- Textile workers' real wages dropped ~70% during transition. [4]
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- Key lesson for AI: Luddites organized AFTER displacement began, losing leverage. [4]
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## Deep Read Notes
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### Source [1]: National Geographic — Luddites and AI
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Key data: destroyed up to 10,000 pounds of frames in first year alone.
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Movement spread from Nottinghamshire to Yorkshire and Lancashire in 1812.
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Children made up 2/3 of workforce at Cromford factory.
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Key insight: Luddites attacked the SYSTEM of exploitation, not machines per se.
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They protested manufacturers circumventing standard labor practices.
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Useful for: framing section on historical displacement, correcting "anti-tech" myth
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### Source [2]: Cambridge University
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Key data: Luddites were "elite craftspeople" not working class broadly.
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Yorkshire croppers had 7-year apprenticeships. Movement was localized, never exceeded a few thousand.
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Key insight: The movement was smaller and more elite than popular history suggests.
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Useful for: nuancing the scale of historical resistance
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## Gaps
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- Could not find quantitative data on how many specific jobs were lost to textile machines
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- No Chinese-language academic sources on Luddite movement found
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- Alternative explanation: displacement narrative may be partly confounded by wartime demand shocks
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```
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## Source Line Format
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Each source line in the `## Sources` section must contain exactly:
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```
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[n] Title | URL | Source-Type: one-of{official|academic|secondary-industry|journalism|community|other} | As Of: YYYY-MM(or YYYY) | Authority: score/10
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```
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Rules:
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- [n] numbers are LOCAL to this task file (start at [1])
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- Lead agent will reassign GLOBAL [n] numbers in registry.md
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- URL must be from an actual search result (subagent MUST NOT invent URLs)
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- `Authority` score follows guide in quality-gates.md
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- `As Of` must be provided; use `undated` if unknown
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- High-confidence claims in final report must use `official` or `academic` sources
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## Findings Line Format
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Each finding must be:
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- One sentence of specific, factual information
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- End with source number(s) in brackets: [1] or [1][2]
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- Max 10 findings per task (forces prioritization)
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- No vague claims like "research shows..." — name what specifically
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Good: `Full textile mechanization transition took 50-90 years (1760s-1850s). [4]`
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Bad: `The transition took a long time. [4]`
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Bad: `Studies suggest that it was a lengthy process.` (no source, vague)
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## Deep Read Notes Format
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For each source that was web_fetched (full article read):
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- Key data: specific, numeric evidence from article
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- Key insight: the one thing this source says that others don't
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- Useful for: which final section this supports
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Max 4 lines per source. This is a research notebook, not a summary.
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## Gaps Section
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List what the subagent searched for but could NOT find, and possible counter-readings.
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This signals where evidence is thin and confidence should be lowered.
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## Registry Format (built by lead agent in P3)
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The `registry.md` file merges all task sources into a global registry and adds source-type / as-of fields.
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```markdown
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# Citation Registry
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Built from: task-a.md, task-b.md, task-c.md, task-d.md
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## Approved Sources
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[1] National Geographic — Luddites | https://www.nationalgeographic.com/... | Source-Type: secondary-industry | As Of: 2026-03 | Auth: 8 | From: task-a
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[2] Cambridge — Rage against machine | https://www.cam.ac.uk/... | Source-Type: academic | As Of: 2012-04 | Auth: 8 | From: task-a
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[3] OpenAI — Day Horse Lost Job | https://blogs.microsoft.com/... | Source-Type: official | As Of: 2026-01 | Auth: 8 | From: task-b
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...
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[N] Last source
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## Dropped
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x Quora answer | https://www.quora.com/... | Source-Type: community | As Of: 2024-10 | Auth: 3 | Reason: below threshold
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x Study.com | https://study.com/... | Source-Type: secondary-industry | As Of: undated | Auth: 4 | Reason: better sources available
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## Stats
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Total evaluated: 22
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Approved: 16
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Dropped: 6
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Unique domains: 12
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Source-type: official 4 / academic 3 / secondary-industry 5 / journalism 2 / community 2
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Max single-source share: 3/16 = 19% (pass)
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```
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Rules for registry:
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- [n] numbers here are FINAL — they appear unchanged in the report
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- Every [n] in the report must exist in the Approved list
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- Every Dropped source must NEVER appear in the report
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- If two tasks found the same URL, keep it once with the higher authority score
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