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 writing the short proposal that gates an Academy of Management Annals (Annals) review — the ≤5-page, four-heading proposal submitted under the twice-yearly deadlines before any full review is invited. Builds the proposal; it does not gather the literature (amann-literature-synthesis) or run the portal preflight (amann-submission).
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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。
amann-topic-selection and you are ready to approach AnnalsAnnals uses a two-step, proposal-first process. You do not submit a full review cold; you submit a short proposal, and only an accepted proposal is invited to develop into a full article.
amann-review-process.)https://mc.manuscriptcentral.com/aomannals. A current CV may be requested for the editors' eyes only — confirm at submission time (待核实).The ≤5-page proposal is the single most consequential document in the Annals lifecycle: it is the gate. A strong proposal earns an invitation before you sink months into reading and drafting; a weak one ends the project regardless of how good the eventual review would have been. Treat it as a high-stakes argument, not an outline.
| Heading | What it must do | Common failure |
|---|---|---|
| Focus of the review | Name the literature and the problem with the field (from amann-topic-selection), not just the topic | A topic label ("a review of X") with no problem |
| Related reviews | Show command of prior reviews and stake the delta — what yours does that none did | Claiming "no review exists" instead of differentiating from the ones that do |
| Review scope and process | State boundaries, inclusion/exclusion logic, databases, and the synthesis method (narrative / systematic / bibliometric) | Vague "we will read the literature" with no transparent process |
| New insights | Lead with the integrative framework and the agenda — the new way of seeing the field, with attitude | A promise of "comprehensive coverage" and no new organizing idea |
The center of gravity is New insights: Associate Editors are deciding whether this review will reorganize the field, not whether it will summarize it. A proposal that nails coverage but offers no framework is the most common proposal-stage reject.
【Focus of the review】<literature + animating problem, one sentence>
【Related reviews】<existing reviews + the delta yours provides>
【Review scope and process】<boundaries / inclusion logic / databases / synthesis method>
【New insights】<integrative framework + agenda + the critical attitude>
【Length check】≤5pp single-spaced, 1-in margins, 12pt (refs/visuals excluded)? Y/N
【Deadline】targeting April 1 / October 1? <which>
【Balance note】<how author's own work is handled, if a contributor>
【Open verifications】portal / CV / specifics re-confirmed on official page? Y/N
【Next skill】→ amann-literature-synthesis (begin systematic reading) after invitation
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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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