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 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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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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