Research & Search

thedixitjain Skill

Use when drafting or revising the literature-review section for a 《财贸经济》 manuscript, when the Chinese / English reference balance is off, or when canonical fiscal / financial / trade theory references are missing. 本技能服务于《财贸经济》(Finance & Trade Economics, CTE)。

thedixitjain Skill

Use when building the novel integrative framework that an Academy of Management Annals (Annals) review must deliver — the theory-advancing "new way of seeing the field" that is the acceptance bar, not a catalog of papers. Designs the spine; it does not gather the literature (amann-literature-synthesis) or appraise evidence balance (amann-evidence-standards).

thedixitjain Skill

Use when imposing an analytical structure or taxonomy on a sociology literature for an Annual Review of Sociology (ARSoc) review — the "spine" that turns a reading list into an argument about the subfield. Designs the framework; it does not gather the literature (arsoc-literature-synthesis) or judge balance (arsoc-comprehensiveness-and-balance).

thedixitjain Skill

Use when partitioning content between an Advanced Materials main text and its Supporting Information, ensuring the paper stands alone while extended data, full experimental detail, and secondary characterization live in the SI. Organizes the Supporting Information; does not write the main text.

brycewang-stanford Skill

Use when deciding whether an applied-micro project belongs at the American Economic Journal: Applied Economics (AEJ: Applied) rather than AER, AEJ: Economic Policy, or a field journal, and what its central question should be. Sets venue fit and question scope; it does not design the identification (see aeja-identification).

thedixitjain Skill

Use when defending the research design of an American Educational Research Journal (AERJ) manuscript — quantitative (multilevel, IRT, quasi-experimental, RCT), qualitative (case study, ethnography, interview), or mixed methods. AERJ judges each tradition on its own terms against the AERA reporting standards. Strengthens the design; it does not write code.

thedixitjain Skill

Use when deciding whether a topic fits the American Educational Research Journal (AERJ), now an integrated field-wide journal, and whether the manuscript's dominant education-research lens is clear. AERJ rewards broad significance to education research, not subfield-only description. Tests fit; it does not generate research questions.

thedixitjain Skill

Use when building the theoretical argument of an American Journal of Political Science (AJPS) manuscript — whether empirical with explicit mechanisms, formal/game-theoretic, or measurement-driven. AJPS rewards testable theory tightly linked to the empirical strategy, with hypotheses stated before the results. Structures the argument; it does not run analyses.

thedixitjain Skill

Use when deciding whether a political-science project fits the American Journal of Political Science (AJPS) and which submission type (Article, Research Note, Correspondence) to target. AJPS is a generalist but quantitatively leaning venue that rewards a sharp, well-identified question with a generalizable payoff. Helps frame the question and pick the type; it does not collect data.

thedixitjain Skill

Use when defending the research design of an American Political Science Review (APSR) manuscript — causal identification for quantitative work, case selection and process tracing for qualitative work, experimental and survey-experimental design, or formal-empirical linkage. APSR judges each tradition on its own terms. Strengthens the design; it does not write code.

thedixitjain Skill

Use when building the theoretical argument of an American Political Science Review (APSR) manuscript into a discipline-level contribution — whether the work is formal/game-theoretic, empirical with explicit mechanisms, interpretive, or normative. APSR rewards a clear, portable argument over a bare finding. Structures the argument; it does not run analyses.

thedixitjain Skill

Use when deciding whether a political-science project fits the American Political Science Review (APSR) and which of its five tracks to target. APSR is the discipline's generalist flagship, so the test is general significance across subfields, not subfield novelty alone. Helps frame the question; it does not collect data.

thedixitjain Skill

Use when defending the research design of a British Journal of Political Science (BJPS) manuscript — causal identification for quantitative work, case selection and process tracing for qualitative work, experimental and survey-experimental design, or formal-empirical linkage. BJPS judges each tradition on its own terms. Strengthens the design; it does not write code.

thedixitjain Skill

Use when building the theoretical argument of a British Journal of Political Science (BJPS) manuscript into a contribution of general interest — whether the work is formal/game-theoretic, empirical with explicit mechanisms, interpretive, or normative. BJPS rewards a clear, portable argument over a bare finding. Structures the argument; it does not run analyses.

thedixitjain Skill

Use when deciding whether a political-science project fits the British Journal of Political Science (BJPS) and which of its three formats to target. BJPS is a broad, internationally-oriented general journal, so the test is wide interest across subfields and beyond one national case, not subfield novelty alone. Helps frame the question; it does not collect data.

thedixitjain Skill

Use when deciding whether a result is COLT-shaped (Conference on Learning Theory) — a theorem-first learning-theory contribution — versus better routed to ALT, STOC/FOCS, NeurIPS/ICML/AISTATS, JMLR, or a statistics journal, and whether the right vehicle is a full paper or a COLT open-problem piece.

thedixitjain Skill

Use when making a CoRL robot-learning paper reproducible — pinning simulator and driver versions, releasing training configs, demonstration data and checkpoints, documenting hardware setups that cannot be rerun, seed policy, evaluation scripts, and honest availability statements for code, data, and robot platforms.

thedixitjain Skill

Use when defending the research design of a Criminology (ASC / Wiley) manuscript — causal identification for quantitative work, longitudinal and life-course designs, criminal-career and trajectory methods, place-based and experimental designs, or case selection and process tracing for qualitative work. Criminology judges each tradition on its own terms. Strengthens the design; it does not write code.

thedixitjain Skill

Use when strengthening the transparency of a CSCW paper — auditable qualitative analysis trails, documented trace pipelines, codebooks and instruments, and honest data-availability statements when community and participant data cannot ethically be shared.

thedixitjain Skill

Create an end-to-end customer journey map with stages, touchpoints, emotions, pain points, and opportunities. Use when mapping the customer experience, identifying friction points, improving onboarding, or visualizing the user journey.

thedixitjain Skill

Use when hardening a CVPR paper's reproducibility story, covering the Compute Reporting Form's hardware and compute sections, training-recipe disclosure, benchmark protocol and split hygiene, seed and variance reporting for vision experiments, and closing the gaps reviewers probe at a benchmark-driven venue.

thedixitjain Skill

Use to understand how Demography (PAA / Duke University Press) evaluates a manuscript — double-blind review, pre-review/desk screening by the Editor or a Deputy Editor, the role of topic-area Deputy Editors, and the grounds for desk rejection (inappropriate fit or unlikely to receive favorable reviews). Sets expectations and shapes the paper to survive review; it does not contact editors.

thedixitjain Skill

Use when building tables and figures for a Demography (PAA / Duke University Press) manuscript so exhibits are self-contained, accessible, and within the journal's limits (Research Articles up to ~8 tables and figures; Research Notes up to 4). Covers distinctive demographic graphics — population pyramids, Lexis surfaces, survival curves, age schedules. Designs exhibits; it does not run the analysis.

thedixitjain Skill

Use when building the reproducibility story for an ECAI paper — a complete proof appendix for theory/KR work, a seeded and cached package for empirical/ML work, provenance pinning for datasets and models, and an anonymized supplement that satisfies double-blind review inside ECAI's tight 7-page body with no separate artifact track.

thedixitjain Skill

Use when deciding whether an econometrics paper fits The Econometrics Journal's leading-case, applied-value bar rather than Journal of Econometrics, Econometric Theory, Quantitative Economics, Review of Economics and Statistics, or a field journal.

thedixitjain Skill

Use when deciding whether a data-management project belongs at EDBT or should be routed to SIGMOD, VLDB/PVLDB, ICDE, the co-located ICDT theory venue, or a database journal, and when choosing the EDBT paper shape (Regular / Experiments-&-Analysis / Vision) and the nearest submission cycle.

thedixitjain Skill

Use when deciding whether a result fits Earth and Planetary Science Letters (EPSL) and how to frame it. EPSL takes concise, high-significance Letters on physical, chemical and mechanical processes of the Earth and planets, and desk-declines regional case studies without process-level insight, so this skill pressure-tests the frontier claim before you invest. It frames the contribution; it does not run analyses.

thedixitjain Skill

Use when drafting or revising the literature-review section for an Economic-Research manuscript, when the Chinese / English reference balance is off, or when canonical theory references are missing.

thedixitjain Skill

Use when writing the theoretical analysis and hypothesis-development section of an Economic-Research manuscript — deriving testable, directional, falsifiable hypotheses that map one-to-one onto the empirical design.

thedixitjain Skill

Use when converting an accepted EuroSys paper into its ACM proceedings version — flipping acmart out of review/anonymous mode, restoring authors and acknowledgments, completing ACM rights and metadata steps, attaching sysartifacts badges, and meeting the single camera-ready date that serves both the spring and fall cohorts.

thedixitjain Skill

Use when you need to understand how the European Sociological Review (ESR) evaluates a manuscript — double-blind peer review, what comparative quantitative reviewers weigh, decision categories, and the ethics rules (anonymity, no simultaneous submission). Sets expectations and shapes the paper to survive review; it does not contact editors.

thedixitjain Skill

Use when strengthening USENIX FAST reproducibility and open-science evidence, covering device and firmware provenance, device-state disclosure, trace availability and replay, claim-to-evidence mapping, honest degrees of reproducibility on hardware that ages and varies, and consistency between what the paper says and what the artifact contains.

thedixitjain Skill

Use when deciding whether a storage project belongs at USENIX FAST or should be routed to OSDI, ATC, NSDI, EuroSys, HotStorage, MSST, SYSTOR, or a storage journal (ACM TOS), and when distinguishing FAST from general-systems siblings by storage-contribution shape, real-device evidence, and the two-deadline calendar.

thedixitjain Skill

Use when targeting Field Crops Research or deciding whether an agronomy / crop-physiology manuscript fits this venue. Encodes the journal's fit, the field-scale multi-environment and replication bar, data-reporting expectations, house style, official-submission re-check, and desk-reject heuristics.

thedixitjain Skill

Use when managing author-side communication around a FOCS (IEEE Symposium on Foundations of Computer Science) submission, where no rebuttal round exists — discharging objections inside the paper before submission, handling rare chair-mediated queries, and converting a rejection into a disciplined autumn resubmission.

thedixitjain Skill

Use when hardening a FOCS (IEEE Symposium on Foundations of Computer Science) paper's checkability — the theory analogue of reproducibility — via hypothesis ledgers, single-source theorem statements that cannot drift between submission and arXiv versions, audits of imported theorems, and certificates for machine-checked steps.