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 writing the response to an American Educational Research Journal (AERJ) revise-and-resubmit. AERJ R&Rs come back through the handling editor and multiple masked reviewers, so the response must convert each reviewer while keeping the editor confident the revision is convergent. Structures the response letter; it does not fabricate new results.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
An AERJ R&R is a strong signal — but acceptance generally needs the handling editor satisfied and the reviewers moved toward yes. The response letter must address every comment, defend the contribution, and keep the revision coherent. The editor adjudicates; reviewers advise.
aerj-transparency-and-data-policy).For each reviewer comment:
> [Quoted reviewer comment]
Response: [What we did / why we respectfully disagree].
Change: [Section/page/table-figure number where the revision appears].
Open with a short summary of the main changes to the handling editor; group by reviewer; end each per-comment entry with the location of every change so the editor can verify quickly.
The handling editor adjudicates, so the letter must signal which comments you accepted and which you contested on principle. Sort each comment into this grid first.
| Comment type | Default move | Editor wants |
|---|---|---|
| Editor's decisive point | Solve fully, first | The change + location |
| Reasonable analysis request | Concede; add it | New result + location |
| Request that breaks the logic | Rebut respectfully | Defense from the design |
| Reviewers want opposites | Pick a principled path | The tradeoff named |
| Minor/cosmetic | Concede in revision | A clean manuscript |
An AERJ R&R on a classroom-discussion intervention returns three reviewers. R1 wants the illustrative 0.19 SD effect re-estimated with school fixed effects; R2 wants the qualitative strand cut; R3 wants it expanded. The editor's letter names integration as decisive. The response concedes R1 (the estimate holds at 0.17 SD) and reconciles R2/R3: cutting the strand would break the integration the editor wants, so the authors expand it and explain the tradeoff. That visible reasoning — not capitulation to every voice — keeps the editor confident.
【Editor's decisive points】addressed first? [list]
【Coverage】every reviewer comment answered? [Y/N]
【Concede vs rebut】each tagged with evidence + change location
【Reviewer conflicts】reconciled and explained to the handling editor? [Y/N]
【Contribution protected】no dilution of broad significance? [Y/N]
【Masking + materials updated】[Y/N]
【Next】resubmit via ScholarOne Manuscript Central
../../resources/official-source-map.md — masked review, integrated-journal history, and decision categories../../resources/external_tools.md — reporting standards and reproducibility tooling for the revisionまだレビューはありません。使ってみた感想をお寄せください。
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。