Use when situating an Accounting, Organizations and Society (AOS) manuscript in the literature — entering one of the journal's own long-running conversations, engaging the interdisciplinary sources (organization theory, sociology, psychology) those conversations draw on, and marking precisely what the paper adds. Positions the argument; it does not build the theory itself (aos-theory-development).
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。
AOS is unusual: half a century of its own archive defines the conversations it cares about, and its editors read submissions against that archive. Locate the specific AOS thread your paper extends:
| Thread (examples from the canon) | You must engage it if your paper is about… |
|---|---|
| Roles of accounting beyond the textbook — Burchell et al. (1980); Hopwood (1983) | any claim that accounting does unexpected work |
| Accounting, power and the calculable person — Miller & O'Leary (1987) | costing, performance measurement, discipline |
| Accountability in everyday organizational life — Roberts & Scapens (1985) | how systems shape conduct and self-accounts |
| Budgets as political instruments — Covaleski & Dirsmith (1986) | budgeting, resource struggles, institutional pressure |
| Numbers as inscriptions and constructed reality — Hines (1988); Robson (1992); Chua (1995) | measurement, representation, expertise |
| Culture change through accounting — Dent (1991) | field studies of transformation |
| Control systems and strategy — Simons (1990) | management control design in use |
| Behavioral/JDM synthesis — Libby, Bloomfield & Nelson (2002) | experimental financial-accounting work |
| Risk and audit society — Power (2009) | risk management, auditability, regulation |
(Full verified references: resources/exemplars/library.md.)
AOS conversations run on imported theory. Cite the primary social-science sources your tradition uses (e.g., the sociology behind institutional theory; Foucault for governmentality; Latour for inscriptions; the cognitive/social psychology behind a JDM design) as they are used in accounting — showing you know both the origin and the accounting appropriation. A paper that cites only accounting journals signals thin theorizing; one that cites only sociology signals the wrong venue.
【Thread】the AOS conversation entered; key papers ...
【Settled view】what that conversation currently believes ...
【Crack】the anomaly / silence / contradiction ...
【Delta】vs nearest papers 1 / 2 / 3 — one sentence each ...
【Interdisciplinary base】primary sources + their accounting appropriation ...
【Next step】aos-methods
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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。