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 executing and reporting the analysis/interpretation for an American Anthropologist (AA) manuscript so it survives expert anonymous review — disciplined ethnographic/qualitative inference, honest interpretation, and (for biological/archaeological work) sound quantitative analysis. Guides analysis and interpretation norms; it does not fabricate evidence or quotations.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
AA reviewers are expert and read across four fields, so the same results section may be read by an
ethnographer, an archaeologist, and a bioanthropologist at once. At AA, interpretation is analysis:
qualitative inference is held to a real standard, not waved through as "context." This skill covers
execution and reporting norms; design decisions live in amanthro-research-design.
Before writing the results section, build an AA ledger that shows how the analysis earns trust across anonymous four-field review while protecting the people, places, materials, and communities that make the evidence possible.
| Claim type | Evidence burden | AA-specific check |
|---|---|---|
| Ethnographic interpretation | fieldnote moment, situated quote, practice, or interaction | alternative reading named; interlocutor dignity preserved |
| Archaeological/material claim | artifact/context record, stratigraphy, archive, or material trace | source limits and silences stated, not hidden |
| Biological/quantitative claim | measure validity, uncertainty, comparison set, effect size | ancestry, population, and social categories not conflated |
| Linguistic/semiotic claim | transcript, translation, interactional sequence, or form-function link | transcript supports the indexical/social claim |
| Public or multimodal claim | image, sound, exhibit, media artifact, or public-facing evidence | consent, caption, and analytic function are explicit |
| Community/accountability claim | collaborative interpretation, feedback, or provenance trail | analytics attributed; extractive phrasing removed |
Use the ledger to decide what can be shown in the manuscript, what belongs in protected notes, and what must remain undisclosed for ethical reasons. The goal is not maximal transparency; it is accountable evidence that an AA reviewer can audit without compromising participants or collections.
amanthro-transparency-and-data).【Main claim】the interpretive/empirical result
【Evidence】what grounds it (fieldnote / utterance / material / measure)
【Four-field mode】ethnographic / material / biological-quant / linguistic / multimodal / community-accountability
【Alternative reading】named and adjudicated?
【Disconfirming evidence】included and addressed? [Y/N]
【Quant rigor】(if applicable) effect size + uncertainty + validation
【Care check】privacy, consent/provenance, attribution, and dignity protected? [Y/N]
【Reflexivity】position's effect on the analysis noted? [Y/N]
【Next】amanthro-tables-figures
| Mode | The check a referee runs first | The fix that earns trust |
|---|---|---|
| Ethnographic / interpretive | Is the claim grounded in shown evidence, or asserted? | Quote/describe the moment; name the rival reading |
| Archival / material | Are the silences and biases of the source read, not ignored? | Read against the grain; state what the archive cannot show |
| Biological / quantitative | Is uncertainty honest and "race" handled carefully? | Effect sizes + intervals; ancestry ≠ social race; validated measures |
| Linguistic | Does the transcript support the indexical claim? | Show the discourse data; tie form to social meaning |
| Multimodal | Does the media argue, or merely illustrate? | Make the image/sound carry analytic weight, with consent |
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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.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。
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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