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 building exhibits for an American Anthropologist (AA) manuscript — photographs, maps, site plans, artifact images, kinship diagrams, transcripts, evidence tables, and multimodal media — so they are self-contained, accessible (alt text), ethically cleared (consent, permissions), and count toward the word budget. Designs exhibits; it does not run analysis or clear permissions for you.
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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 AA, exhibits do more than display numbers — a photograph, a map, a site plan, a kinship chart, or a film clip can carry the argument, and the Multimodal Anthropologies section treats media as scholarship in its own right. Exhibits also cost words (the Research-Article count includes figures, tables, references, and notes), and they carry ethical and rights obligations that other fields' charts do not.
amanthro-transparency-and-data).【Main exhibit】what it shows + why it argues (not decorates)
【Self-contained?】caption + labels + source + date/place present? [Y/N]
【Consent & rights】people consented / permissions secured / heritage respected? [Y/N]
【Accessible?】alt text + grayscale-legible + transcript conventions? [Y/N]
【Word-budget impact】noted (figures/tables count)
【Next】amanthro-writing-style
| If your exhibit is… | The first question an AA editor/reviewer asks | The fix that clears it |
|---|---|---|
| A field photograph of people | Did they consent to this image being published? | Consent on file; blur/withhold per the consent; caption with place/date |
| A map or site plan | Does it reveal a protected/sacred location? | Generalize coordinates; consult the community before publishing |
| An artifact plate / museum image | Are permissions and credits secured; is it heritage-sensitive? | Clear rights; respect community authority; some objects are not reproduced |
| An interlinear transcript | Are transcription conventions stated and glosses legible? | State conventions; align glosses; translate fairly |
| A quantitative plot (bio/archaeo) | Does it show uncertainty, and do values match the analysis? | Plot intervals/effect sizes; reconcile numbers to the source |
| A multimodal piece (film/sound) | Does the media argue, with consent and access controls? | Make it carry analytic weight; document consent for the medium |
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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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