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Use when building exhibits for an Annual Review of Sociology (ARSoc) review — summary "who-found-what" tables, the conceptual/framework figure, and meta-evidence exhibits that synthesize across studies. Designs review exhibits; it does not produce original-estimate regression tables (an ARSoc review reports no new estimates of its own) or write prose (arsoc-writing-style).
Passed 20 of 22 test cases with the skill, and 8 of 22 without it.
and 14 more in the full report
13 fixed7 passed either way1 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.
Review my plan for a table on migration push factors. I'll order it by the theoretical framework. Provide the required structured evaluation.
| Checked | Without skill | With skill |
|---|---|---|
| Requires confirming that comparable objects only are placed in the same column | Missed | Passed |
| Requires confirming that rows are ordered by framework cell | Missed | Passed |
The instructions your model reads when the skill loads.
ARSoc exhibits summarize across the literature; they do not present the author's own estimation. The workhorses:
| Exhibit | Purpose | Design notes |
|---|---|---|
| Who-found-what summary table | one row per study (or per design class): question/claim, method/mode, sample, finding, tradition, credibility note | rows ordered by the framework's cells, not chronology; columns let the reader compare comparable objects |
| Conceptual / framework figure | render the organizing spine — taxonomy tree, mechanism/process diagram, levels-of-analysis map, the simple model | this is often the review's signature exhibit; it should be restate-able from memory by a non-specialist |
| Meta-evidence exhibit | a forest-style plot, a timeline of a debate, a coverage/citation map | use only when the estimates are commensurable; otherwise it manufactures false consensus |
arsoc-comprehensiveness-and-balance).Because the readership spans subfields, the framework figure carries disproportionate weight: it is what a sociologist from another area remembers and reuses (and what gets reproduced in syllabi). Invest in one diagram that renders the spine cleanly — a taxonomy tree, a mechanism flow, or a levels-of-analysis map — so a reader who recalls nothing else can reconstruct the subfield's structure from it. Annual Reviews production supports full-color figures; design for legibility in the published format and confirm current figure specs on the author pages (检索于 2026-06;以官网为准).
If you assemble effect sizes into a quantitative synthesis (forest plot, meta-regression), you are doing a meta-analysis, with its assumptions — comparable estimands, publication-bias diagnostics, weighting. Sociology's qualitative and theoretical strands rarely reduce to a pooled effect size; do this only where the literature genuinely supports it, and never pool incommensurable findings. ARSoc readers include the methodologists who would catch invalid pooling. If you do run a meta-analysis, its data and code must be reproducible (see arsoc-transparency-and-reproducibility).
When a figure from a reviewed study is central, prefer a re-drawn synthesis figure (your own panel placing several studies on common axes) over copying one study's exhibit — it serves the review's argument and avoids consensus-by-accident. If you reproduce an original figure, attribute it and secure any permission Annual Reviews requires (检索于 2026-06;以官网为准).
test cases passed, vs 8 / 22 without
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