arsoc-tables-figures — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited arsoc-tables-figures (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
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).
【Exhibit set】<list: summary tables / conceptual figure / meta-evidence>
【Summary table】rows by framework cell; comparable objects only? Y/N
【Mode + credibility column】present for every finding? Y/N
【Conceptual figure】renders the spine; restate-able from memory? Y/N
【Meta-evidence】pools only commensurable estimates (or omitted)? Y/N
【Sourcing】every cell traces to the evidence matrix? Y/N
【Specs/permissions】confirmed on Annual Reviews author pages? Y/N · 待核实
【Next step】→ arsoc-writing-style (weave exhibits into the synthesis prose)~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.