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 revising an Academy of Management Annals (Annals) review for the house voice — authoritative, integrative, agenda-setting "reviews with an attitude," with a strong problem-first opening and a contribution-stating abstract. Polishes prose and structure; it does not design the framework (amann-organizing-framework) or run the submission preflight (amann-submission).
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Annals is read by management and organization scholars across subfields, plus allied audiences (organizational psychology, sociology of organizations). The voice is that of a trusted, fair expert who has read the whole field and is willing to say what it got right, what it got wrong, and what to do next. Four qualities define it:
An Annals introduction differs from a research-paper intro and even from a generic review:
frame the field and its problem (what it studies, and the specific way it is fragmented/contradictory/confused) → why a review is needed now (a wave of work, a method shift, a hardened debate) → the organizing framework (the new way of seeing the field — the map the reader is given) → the position and the agenda (the "attitude" and what the review will conclude the field should do) → roadmap (brief).
State the framework and the position early. A review that withholds its organizing idea to a final section wastes the reader's time and reads as indecisive — the opposite of "attitude."
A review abstract describes what the review does for the field: the literature, why a review now, the integrative framework, the critical position, and the agenda. Avoid "we hypothesize / we find a coefficient…"; that is a primary-paper abstract. (Confirm any length/format limits at submission via amann-submission; 待核实.)
Annals reviews are long (~50 pages of text; 检索于 2026-06;以官网为准), and length is a privilege, not a license. Every section must earn its pages by advancing the argument about the field; confirmatory coverage (the lower tiers of amann-evidence-standards) belongs in compact citation clusters, not paragraph-length summaries. Use strong section architecture that mirrors the framework, periodic "where we are / where we go next" cues, and subsection summaries so a reader who puts the review down can re-enter without rereading.
【Opening arc】field+problem → why-now → framework → position+agenda → roadmap? Y/N
【Framework early】organizing idea stated up front? Y/N
【Attitude】names blind spots / over-studied / confusions, evidence-grounded? Y/N
【Integrative prose】streams in dialogue, not toured? Y/N
【Agenda】forward-looking, tied to framework gaps? Y/N
【Accessibility】intuition-first; jargon controlled for cross-subfield readers? Y/N
【Abstract】review-style (contribution to the field), not a single finding? Y/N
【Next skill】→ amann-editor-strategy / amann-submission
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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。