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.
日本語の概要は準備中です。原文の説明を表示しています。
Use when you need to understand how American Anthropologist (AA) evaluates a manuscript — editorial screening, anonymous peer review under an ethics of care, the four-field editorial board, decision categories, and how section choice shapes the path. Sets expectations and shapes the paper to survive review; it does not contact editors.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Knowing how AA screens and decides lets you pre-empt the failure modes before submitting. AA is the four-field AAA flagship, uses anonymous peer review, and explicitly practices an ethics of care toward authors and reviewers — but the editorial bar is still four-field significance plus sound, ethical evidence.
amanthro-submission). Expect expert,
sometimes cross-subfield, reviewers.amanthro-transparency-and-data).【Screening check】fit / four-field significance / ethics — any red flags?
【Significance】broad enough to clear "subfield-only"? [Y/N]
【Literature engaged】incl. cross-subfield + non-metropolitan? [Y/N]
【Ethics cleared】consent / anonymization / heritage resolved? [Y/N]
【Section】Research Article / Vital Topics / World / Public / Multimodal / Review Essay (right path?)
【Realistic outcome】reject / R&R / (rare) accept
【Next】amanthro-submission (or amanthro-rebuttal if decided)
| Reviewer focus | What it means at AA | How to pre-empt it |
|---|---|---|
| Four-field significance | Does this matter beyond the home subfield? | State the cross-field stake in the introduction |
| Evidence & rigor | Is the claim grounded; is interpretation disciplined? | Ground each claim; name and adjudicate the rival reading |
| Reflexivity | Is the author's position visible and accounted for? | Make positionality part of the argument |
| Ethics & care | Consent, anonymization, heritage, no harm | Resolve and state these before submitting |
| Citational practice | Are marginalized/regional voices engaged? | Cite beyond the metropolitan canon |
| Craft | Is it well written and legible across fields? | Polish with amanthro-writing-style |
amanthro-rebuttal). Outright first-round acceptance is rare.../../resources/official-source-map.md — peer-review model, ethics-of-care statement, section types, editorial boardまだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。