This matrix shows how each chapter in AI Tools for Doctoral Research in Social Science connects to its dedicated AI tool(s), and what each tool is designed to help you do. Use it as a roadmap: read the chapter, scan the QR code / follow the short link, run the tool, and paste the output back into your ongoing Project Profile.
| Chapter & Focus | Core Learning Goal | Linked AI Tool(s) | Primary Function of the Tool |
|---|---|---|---|
| 1. Getting to Know Your Ideas | Establish a clear Project Profile and persistent AI memory. |
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Captures your research details and builds a stored “Project Profile” for continuity across all other tools. |
| 2. From Inspiration to Workable Project | Refine ideas, test feasibility, and balance risk vs originality. |
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Guides you from initial spark → structured proposal; then audits feasibility, timescales, and practical risks. |
| 3. Asking Good Research Questions | Craft answerable, aligned, and significant doctoral research questions. |
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Evaluates your draft questions, checks them against common pitfalls, and then engages you in a short Socratic-style dialogue to strengthen them. |
| 4. Questions Examiners Ask About Your Research Design | Build a coherent, defensible, and examinable research design. |
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Checks alignment, robustness, ethics, and theory–method fit. Helps you prepare defences for examiner-style challenges. |
| 5. Ontological & Epistemological Positioning | Clarify your stance on reality and knowledge, and keep it consistent. |
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Probes your assumptions about what is “real,” what counts as knowledge, and whether those beliefs align with your design and claims. |
| 6. Engaging with the Literature | Mobilise existing research critically rather than just listing it. |
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Recommends appropriate AI platforms for finding and organising literature; diagnoses problems like “just summarising” or weak critical stance. |
| 7. Making Theory Work | Integrate and deploy theory as an analytical tool, not decoration. |
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Helps you clarify what work theory is doing in your thesis, examine your key concepts, and see how your chosen lens is being used (and critiqued) in the field. |
| 8. Answering the “So What?” Question | Strengthen and justify the significance of your project. |
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Tests your claims to contribution (theoretical, empirical, practical, etc.) against your design and data. Then helps you sharpen them. |
| 9. Achieving Alignment Across the Thesis | Ensure the moving parts of the thesis genuinely hang together. |
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Checks for internal contradictions (e.g. RQs vs data vs claims) and maps how your key concepts and arguments connect. |
| 10. Writing an Introductory Chapter | Produce a clear, balanced, examiner-facing introduction. |
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Reviews coverage (rationale, questions, significance, design snapshot) and checks academic register. |
| 11. Writing the Contextualisation Chapter | Frame the study’s context without turning it into a descriptive dump. |
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Assesses relevance, balance, and consistency with your ontological/epistemological stance. |
| 12. Writing the Research Design Chapter | Present a credible, defensible design that an examiner can trust. |
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Evaluates methodological coverage, ethics, robustness, and coherence. |
| 13. Writing the Concluding Chapter | Articulate your original contribution and answer the research questions directly. |
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Checks for clear answers to RQs, defensible truth claims, and an explicit statement of originality/significance. |
| 14. Writing an Abstract | Communicate the whole thesis in half a page, with clarity and integrity. |
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Optimises clarity, internal consistency, level of claim, and distinctiveness of contribution. |
| 15. Writing Great Titles | Craft precise, distinctive, examiner-friendly titles using TOPCAF. |
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Generates multiple defensible title options, then works with you to refine wording, stance, and scope. |
| 16. Questions Examiners Ask (Viva) | Prepare calm, defensible answers to examiner-style questions. |
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Simulates questioning from different examiner personas and pushes you to justify design choices, claims to originality, and truth claims. |
| 17. Building Your Doctoral Support Ecology | Build and maintain a sustainable support structure around your doctorate. |
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Uses supervisors, peers, structured writing practice, and selective AI use to create a healthy research ecology that will actually sustain you. |