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 sharpening the theoretical contribution and the "so what" for an Administrative Science Quarterly (ASQ) manuscript once results exist. Frames the contribution; it does not develop the underlying theory or run analysis.
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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。
At ASQ the deliverable is a change in how organization theorists understand something. A finding answers a question; a contribution reframes the question or overturns a prior. Frame around the surprise identified in asq-topic-selection and the mechanism from asq-theory-development. The ASQ archetype is a paper that gives the field a new lens it cannot un-see — the garbage-can model of organizational choice (Cohen, March & Olsen 1972, ASQ) or Barley's (1986, ASQ) reconception of technology as an occasion for structuring. Note what is not the ASQ deliverable: an improvement in firm performance (the SMJ register) or a well-powered confirmation of a moderated hypothesis (a common AMJ profile) is not, by itself, a theoretical contribution here.
Avoid the weakest "contribution" types ASQ tends to reject: "we replicate prior work in a new setting," "we add a moderator," "we study an understudied topic."
Place a sharp statement early (intro) and revisit it in the discussion. Shape:
"We contribute to [conversation] by showing [surprising insight]. Whereas prior work assumed [prior], we demonstrate [reframing/mechanism/boundary], driven by [mechanism]. This implies [non-obvious consequence] and reopens [new question]."
【Contribution (one sentence)】...
【Type】reframing / mechanism / boundary / integration / new model
【Prior overturned】what the field assumed
【Generativity】new questions opened
【Claim calibration】matches evidence? (yes/no)
【Next step】asq-tables-figures
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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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