Use when packaging AAAI code, data, multimedia appendices, technical appendices, reproducibility evidence, and post-acceptance artifact releases without violating double-blind or immutable-supplement rules.
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Use when building the conceptual/theoretical argument of an American Anthropologist (AA) manuscript into a four-field contribution — whether the work is ethnographic, archaeological, biological, or linguistic. AA rewards a portable concept and reflexive argument over a bare finding or thick description alone. Structures the argument; it does not run analyses or write fieldnotes.
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实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
At AA, evidence is not a contribution until it is attached to an argument other anthropologists can use elsewhere. This skill turns fieldwork, material, or measurements into theory: explicit concepts, mechanisms or interpretive logics, scope conditions, and positionality, in the idiom appropriate to your subfield. Thick description is necessary at AA but not sufficient — the "so what" must travel.
Ask: Could an anthropologist in another subfield import this concept/mechanism to their own problem?
If yes, you have a four-field contribution. If the argument only works for your exact case, tighten it
into a general logic or reframe (back to amanthro-topic-selection).
【Core claim】one sentence
【Concept】the key analytic, defined
【Mechanism / interpretive logic】the social process
【Evidence link】what grounds it / what would disconfirm it
【Positionality】how the author's relation to the field bears on the reading
【Scope + portability】where it holds / who else can use it
【Next】amanthro-research-design
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Use when packaging AAAI code, data, multimedia appendices, technical appendices, reproducibility evidence, and post-acceptance artifact releases without violating double-blind or immutable-supplement rules.
中文简介正在准备中。当前显示原文说明。
Use when drafting an AAAI author response (rebuttal) under the single short character-limited author-feedback window, the no-URL rule, no-new-results guidance, AI-generated-review handling, and the AAAI two-phase review process where Phase-2 papers receive one feedback round before SPC/AC discussion.
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Use when preparing an accepted AAAI paper for camera-ready source submission to AAAI Press, including proceedings page limits, two-column template compliance, copyright transfer, purchased extra technical pages, deanonymization, registration, oral or poster presentation, and final public artifact release.
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Use when designing or auditing AAAI experiments for the broad-AI program committee, including baselines, ablations, statistical significance, robustness, human evaluation, AI-for-Social-Impact and alignment/safety evidence, compute and cost reporting, and reproducibility-checklist alignment for Phase-1 survival.
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Use when positioning an AAAI paper's novelty against archival work, contemporaneous arXiv or workshop papers, and AAAI/IJCAI/NeurIPS/ICML/ICLR neighbors across the broad AI scope, while staying inside AAAI's dual-submission and AI-as-source policy constraints and writing a related-work section legible to non-specialist reviewers.
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Use when strengthening an AAAI paper's reproducibility checklist (placed after references), experimental traceability, seed and hyperparameter reporting, compute and cost disclosure, dataset access and licensing, code/data ZIP readiness, and the claim-to-evidence map that Phase-1 reviewers use to judge rigor across AAAI's broad AI scope.
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