Use when running the final pre-submission preflight for an Academy of Management Journal (AMJ) manuscript — ScholarOne portal, anonymization for double-blind review, AOM house-style formatting, files, and ethics declarations. Checks readiness to submit; it does not handle the post-decision response (amj-rebuttal).
中文简介正在准备中。当前显示原文说明。
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Always re-verify current limits and required files on the official AMJ submission page and the AOM Style Guide before submitting — specifics change. As of 2026-05-30 the verified key specs are below.
【Anonymization】pass / fix: [...]
【Format vs. AOM guide】pass / fix: [...]
【Files ready】manuscript / title page / cover letter / supplements: yes/no
【Declarations】IRB / data availability / disclosures: complete? [...]
【References】citations↔list reconciled; canonical theory cited: yes/no
【Article type & division】selected ...
【Next step】await decision → amj-review-process; on R&R → amj-rebuttal
templates/manuscript_template.md — full AMJ manuscript skeleton (title page, abstract ≤200 words, three keywords, theory & hypotheses, methods, results, discussion, references) with verified AOM format specs../../resources/external_tools.md — management-research data sources and analysis software (Mplus / R lavaan / HLM / Stata / SPSS PROCESS)../../resources/official-source-map.md — official AOM/AMJ URLs behind every verified fact in this pack (accessed 2026-05-30)还没有评价。欢迎分享你的使用感受。
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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.
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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.
中文简介正在准备中。当前显示原文说明。