Classify and categorize scientific content across all disciplines.
When to Use
- "Classify this paper by discipline"
- "What research methodology does this use?"
- "Categorize these results by topic"
- "Assess the quality tier of this journal/paper"
- Sorting literature by approach or field
- Identifying study design type (RCT, cohort, case-control, etc.)
When NOT to Use
- Simple keyword extraction (use scienceclaw-ie)
- Full paper summarization (use scienceclaw-summarization)
- Fact verification (use scienceclaw-verification)
Classification Dimensions
1. Discipline Classification
Classify into one of 17+ primary disciplines and subdisciplines:
- Natural Sciences: Physics, Chemistry, Biology, Medicine, Materials Science, Astronomy, Earth Science, Environmental Science, Agricultural Science
- Formal Sciences: Mathematics, Computer Science
- Social Sciences: Economics, Sociology, Psychology, Political Science, Linguistics
- Humanities: Philosophy, History, Law
2. Methodology Classification
- Empirical: experimental, observational, survey, case study
- Theoretical: mathematical modeling, simulation, analytical
- Computational: data-driven, machine learning, numerical methods
- Review: systematic review, meta-analysis, scoping review, narrative review
- Mixed Methods: combining qualitative and quantitative
3. Study Design Classification
- Randomized controlled trial (RCT)
- Cohort study (prospective/retrospective)
- Case-control study
- Cross-sectional study
- Longitudinal study
- Qualitative study (ethnography, phenomenology, grounded theory)
4. Quality Assessment
- Tier 1: High-quality evidence (large RCTs, systematic reviews with meta-analysis)
- Tier 2: Moderate evidence (cohort studies, well-designed experiments)
- Tier 3: Low evidence (case reports, expert opinion, preliminary studies)
- Tier 4: Pre-print or non-peer-reviewed
Output Format
Always structure classification output as:
**Discipline**: [Primary] > [Subdiscipline]
**Methodology**: [Type]
**Study Design**: [Design type]
**Quality Tier**: [1-4] — [Justification]
**Key Topics**: [topic1, topic2, ...]
**Confidence**: [High/Medium/Low]
Guidelines
- Always provide confidence level for classifications
- Note when content spans multiple disciplines (interdisciplinary)
- Distinguish between primary and secondary methodologies
- Consider journal impact factor and peer-review status for quality assessment
- Flag potential misclassifications or ambiguous cases
- Use standardized vocabulary (MeSH terms for biomedical, ACM CCS for CS, etc.)