本文へ移動
cccskills
無料GitHub で公開

aos-rebuttal

Use when an Accounting, Organizations and Society (AOS) revise-and-resubmit arrives — planning revisions that may include recoding field data, new experimental conditions, or deepened theorizing, and drafting the point-by-point response to an interdisciplinary reviewer panel. Drafts the response; it does not run new analysis (aos-data-analysis) or the final preflight (aos-submission).

インストール方法を見る

含まれるファイル(1)

  • SKILL.md5.4 KB

SKILL.md(原文)

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。

R&R Rebuttal (aos-rebuttal)

When to trigger

  • An AOS R&R letter is in hand and the revision needs a plan
  • Reviewers demand deeper theorizing, more field evidence, or a new experimental condition
  • Two referees pull in different disciplinary directions and the response must reconcile them
  • The response letter is due and the manuscript changes must be documented point by point

Plan the revision before a word of the letter

  • Build a response matrix: every numbered point from each reviewer and the editor, mapped to one of — rewrite (clarity), re-analyze (return to the data), extend (new material), or reasoned dissent (rare, sourced).
  • Let the editor's letter set the order of work. At AOS the editor typically synthesizes which concerns are decisive; treat that synthesis as the revision's spine.
  • Do the substantive work first. AOS revisions frequently mean real labor, not prose: another coding pass with a sharpened category system, a follow-up interview round if access allows, a new experimental condition or process measure, or rebuilding the theory section from primary sources.

Tradition-specific revision moves

  • Qualitative field papers. "The theory does no work" → re-theorize from the anomalies, not by adding citations; show in the response which findings paragraphs changed. "Evidence is thin" → expand the data-inventory and evidence tables, add counter-evidence handling; only claim saturation if the register supports it.
  • Experiments. "Confound X" → new condition or measured-covariate analysis, not verbal reassurance. "Process unclear" → add mediation/moderation evidence with bootstrap CIs, or run the discriminating study.
  • Cross-discipline conflicts. When the theory reader and the accounting reader collide, write the bridging move into the manuscript (a paragraph translating the theoretical stake into the accounting conversation), then point both reviewers to it — never give incompatible private answers in the letter.

Write the response letter

  • Open with a one-page summary of the revision's architecture: the two or three big changes and where they live.
  • Then point by point: quote or faithfully paraphrase the comment, state what changed, and give the exact location (section, page, table). Never claim a change the manuscript does not contain.
  • Dissent sparingly and generously: acknowledge the reading, explain with sources or evidence why the paper holds its position, and offer the compromise made (a scope condition, a footnote, a robustness exhibit).
  • Keep tone collegial — the same referees will likely see round two, and interdisciplinary reviewers are alert to being condescended to about "their" theory.

Consistency sweep before resubmission

  • Re-run the terminology ledger: revisions notoriously desynchronize construct names between new sections and old exhibits.
  • Update the data-inventory/evidence tables (qualitative) or the analysis scripts and exhibits (quantitative) so every changed number regenerates.
  • Refresh declarations if anything moved: new data collection → ethics statement; AI-assisted redrafting → AI declaration; new related publication of yours → disclosure.
  • Confirm the revised files remain fully anonymized — new acknowledgments and tracked-changes metadata are classic leaks.

Timing

Interpretive revisions are slow by nature — recoding a corpus or returning to a field site takes months, not weeks. If the editor's deadline cannot accommodate the substantive work the letter demands, ask for an extension early with a concrete plan; AOS editors generally prefer a real revision late to a cosmetic one on time (confirm the journal's current extension practice with the handling editor).

Checklist

  • Response matrix covers every point with an action class
  • Editor's decisive concerns addressed first and most deeply
  • Substantive work (recoding / new conditions / re-theorizing) done before drafting
  • Cross-reviewer conflicts resolved in the manuscript, identically for both readers
  • Every response cites the exact changed location; no phantom changes
  • Terminology, exhibits, declarations, and anonymization re-verified after revision

Anti-patterns

  • Letter-first revising — eloquent responses wrapping an unchanged manuscript.
  • Citation appeasement: adding the reviewer's references without engaging them.
  • Splitting answers: telling R1 one thing and R2 its opposite.
  • Silent dropping of a hard point, hoping the reviewer forgets.
  • Over-compliance that dismembers the paper's argument to satisfy every marginal note.

Output format

【Matrix】R1 / R2 / editor points → rewrite / re-analyze / extend / dissent ...
【Spine】editor's decisive concerns and the work done for each ...
【New material】recoding rounds / conditions / theory rebuild — status ...
【Letter】summary page + located point-by-point complete? ...
【Sweep】terminology, exhibits, declarations, anonymity re-checked? ...
【Next step】aos-submission (final preflight) → resubmit in Editorial Manager

レビュー

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。

同じリポジトリのスキル

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。

brycewang-stanford/Awesome-Journal-Skills1,2482026年9月27日 更新

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。

brycewang-stanford/Awesome-Journal-Skills1,2482026年9月27日 更新

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。

brycewang-stanford/Awesome-Journal-Skills1,2482026年9月27日 更新

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。

brycewang-stanford/Awesome-Journal-Skills1,2482026年9月27日 更新

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。

brycewang-stanford/Awesome-Journal-Skills1,2482026年9月27日 更新

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。

brycewang-stanford/Awesome-Journal-Skills1,2482026年9月27日 更新

brycewang-stanford のスキルをすべて見る

このスキルの問題を報告する