Policy Tracing & CSSCI Topics
Verify policies, find trends, and shape traceable CSSCI topics
Policy Tracing & CSSCI Topics
Verify policies, find trends, and shape traceable CSSCI topics
Showcase
Description
Turn national policy materials into verifiable, traceable CSSCI research topics. Suitable inputs include full policy texts, older and newer versions of documents, policy keywords, policy lists, or document numbers. Whether the materials are complete or not, build a source record covering the policy origin, issuing body, document number, date, level, and validity status. Check each item against authoritative source texts, noting the citation location, source link, and verification status—“consistent,” “uncertain,” or “needs verification”—to avoid mistaking summaries for original policy language. Building on this verification, identify additions, strengthened measures, and phased-out content in newer and older policies. Extract high-frequency terms, policy context, and timing windows, then connect policy trends to real-world problems supported by evidence. Next, develop research questions at the levels of phenomena, mechanisms, and theory; match them with perspectives such as institutional theory, principal–agent theory, and policy diffusion; and identify research gaps through recent, traceable literature. The result is a pool of candidate topics with theoretical support, literature evidence, and proposed data and methods. Finally, select 3–5 CSSCI topics and assess each one’s policy timeliness, theoretical and practical value, and publication feasibility. Provide the policy basis, real-world problem, theoretical perspective, literature gap, data sources, and methodological approach. Confirmed results can be compiled into a structured research report that preserves complete source details, verification status, and audit-trail information—suitable for topic development in policy research, public administration, economics and management, and related social sciences.
Related Skills
View all
Quantitative Topic Selection
Turn a vague research interest into a testable, feasible quantitative paper topic tailored to your target journal. Whether you plan to submit to a CSSCI or SSCI journal, or are comparing cross-sectional and longitudinal research, this Skill helps clarify your research direction, population, and scope while building a clear variable framework around independent, dependent, mediating, and moderating variables. As your topic takes shape, you can develop research questions, a theoretical framework, formal research hypotheses, measurement instruments, sampling and data collection plans, and statistical analysis approaches aligned with your hypotheses. If you already have a policy project or research keywords, you can use them to identify directions with academic publication potential. If you have not yet settled on a specific angle, you can generate and compare multiple candidate topics. The final output focuses on topic feasibility and publication potential: whether the data can be obtained, whether the variables can be operationalized, whether the theory, hypotheses, and methods form a coherent chain, whether the target journal is a good fit, and where the topic can occupy a distinct niche relative to existing research. You will receive a complete topic finalization plan covering the research direction, variable relationships, theoretical hypotheses, cross-sectional or longitudinal design, data and analysis plan, risk considerations, and feasibility recommendations—ready to share with your advisor or use as the basis for a literature review.
ResearchThesis Topic & Intro v3.2
Read in 10 seconds: turn a vague observation into a defensible topic, then into an introduction that can pass review. Throughout, it uses only the real materials you provide — no fabricated references. Trigger words: thesis topic, topic selection, introduction, research gap, academic writing, thesis proposal, topic selection before literature review. Applies to: journal papers / dissertations / conference papers / course papers, across all disciplines — humanities and social sciences, STEM, agriculture, medicine, and life sciences. Up and running in 3 minutes: lock in your discipline and starting point → shape the topic layer by layer → strict evidence-chain gate → module-by-module introduction → ratchet finalization. [Division of labor with other skills] The health check comes first, writing comes after, and polishing comes last. This skill handles the middle stretch: topic shaping + introduction draft. It does not write the full paper (that's the Academic Paper Full-Process Writing System v4.x), and it does not polish language sentence by sentence (that's the Academic Paper Three-Track Polishing System v8.x). [Six gates] 1. Discipline placement: classify into one of four categories — 1A humanities/arts, 1B social sciences, 2A STEM, 2B agriculture/medicine/life sciences — and load the corresponding red-line norms; for category 2B, ethics review status is always checked. 2. Stage positioning: are you at a vague observation, have a unit but no angle, have an object but no theory, lack a method, lack a viewpoint, or only lack an introduction? Start from the corresponding gate instead of starting over from scratch. 3. Topic shaping: research unit → dimension compass → theoretical perspective → research method → research viewpoint, locked layer by layer; before locking each layer, first judge whether the previous layer holds. 4. Strict evidence-chain gate: before the introduction, your references are registered into an M1/M2… material library, each entry verified on four elements — author/year/title/locator; if fewer than 3 references are registered in the conversation, the system refuses to generate the research-gap statement — not a downgrade, a refusal. 5. Module-by-module generation: the introduction is produced in five inverted-pyramid modules, and each module must be annotated with citation numbers [Mn]; no source, no sentence. 6. Ratchet finalization: only versions that have passed receive credit; qualifying modules are locked and no longer changed; scores only go up, never down. [Deliverables] A '[Topic Keyword] · Topic & Introduction' document + a sentence-level traceable citation mapping table + a ⚠️ to-verify checklist + an AFP archive code. The archive code works across four systems — the proposal health-checker, the v4.x full-process system, and the three-track polishing system — so switching skills doesn't require re-stating your discipline, topic, journal, or material library. [Explicitly not done] It does not fabricate authors, years, volumes, issues, page numbers, or DOIs; any bibliographic records retrieved online are marked ⚠️ to-verify and can only be written into the reference list after you verify them; it makes no promises of acceptance or passing review. Authorship and responsibility are yours — please verify every citation and data point.
ResearchAFP Policy & CSSCI Topics
AFP prompt system for in-depth policy analysis—three-level source attribution, interpretation of hot topics, and academic mapping—and CSSCI topic generation (3–5 topics, each with policy basis, theoretical foundation, theoretical and practical significance, and publication potential assessment). Supports two entry points: A1 panoramic analysis and A2 targeted analysis, plus B reverse matching from ideas. Runs with Auto-Flow: strict step-by-step progression, silent background self-checks, a heartbeat HUD, and hard stops at each stage.
Information
- Version
- v2
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
