smr-workflow
Use when sequencing a Sociological Methods & Research (SMR) manuscript from method-contribution fit through derivation and properties, Monte Carlo s…
它会碰到什么
这一栏是扫描器报的事实,不是结论。命中多不等于有毒(安全工具、规则库、示例脚本本来就会包含危险写法),命中少也不等于干净。它和你手上的凭据、文件、网络有什么关系,需要你自己看。
技能内容
SMR Workflow
Use this as the router for Sociological Methods & Research (SMR), the SAGE quantitative- and
statistical-methodology flagship. SMR publishes papers that **develop, evaluate, or critically
assess** methods; a pure application with no methodological contribution is out of scope. Reopen
the live SAGE author instructions before any deadline-ready advice — review model, fees, and policy
wording can change.
Route map
- Fit unclear, or the "method" is really just an application: use
smr-topic-selection. - The new estimator/design/diagnostic and what it fixes are fuzzy: use
smr-method-contribution. - Methods-literature placement weak or sibling-journal confusion: use
smr-literature-positioning. - Assumptions, identification, bias/consistency/efficiency not pinned down: use
smr-derivation-and-properties. - Monte Carlo design thin or competitors missing: use
smr-simulation-studies. - No real-data demonstration that the method matters substantively: use
smr-empirical-illustration. - Exhibits crowded, not self-contained, or hiding the simulation grid: use
smr-tables-figures. - Prose buries the contribution or violates ASA/abstract rules: use
smr-writing-style. - Code/package not released or not reproducible: use
smr-software-and-reproducibility. - Ready for ScholarOne: use
smr-submission. - Decision letter arrived: use
smr-rebuttal.
Resource loading rule
Use the resource layer when routing:
resources/worked-examples/01-introduction.mdfor the methods-paper opening arc (problem → why
existing methods fail → the contribution → properties → simulation + illustration → software).
resources/exemplars/library.mdfor benchmark style and web-verified SMR papers by method family.resources/official-source-map.mdbefore any review-model, abstract-limit, citation-style,
data-policy, or fee claim.
Never answer a volatile submission question from memory. If the source map marks a fact 待核实, say so
and recheck the official SAGE page before advising a final submission.
Stop conditions
Pause the route and repair before moving forward if:
- the paper has no methodological contribution — it applies an existing method to a new dataset;
- the analytical properties (bias, consistency, efficiency, or the conditions for validity) are asserted
but not derived or argued;
- the simulation does not include the competing methods an SMR reviewer would expect, or never
shows where the new method breaks;
- there is no real-data empirical illustration showing the method changes a substantive conclusion;
- no usable software/code is released — SMR readers expect to run the method.
Stage gates keyed to the SMR pipeline
| Gate | Pass condition | Skill that repairs failure |
|---|---|---|
| Fit gate | Method contribution and the problem it solves vs. existing methods stated in one sentence each | smr-topic-selection, smr-method-contribution |
| Theory gate | Assumptions, identification, and analytical properties traceable and derived | smr-derivation-and-properties |
| Evidence gate | Monte Carlo with named competitors and a real-data illustration; each property has a finite-sample check | smr-simulation-studies, smr-empirical-illustration |
| Exhibit/prose gate | Exhibits self-contained; abstract ≤150 words, no parenthetical citations; ASA style | smr-tables-figures, smr-writing-style |
| Software gate | Released package/scripts reproduce the main tables, figures, and simulation | smr-software-and-reproducibility |
| Conformance gate | ScholarOne fields, double-anonymization, availability statement, AI disclosure verified live | smr-submission |
| Post-decision gate | Point-by-point response assembled; revision clock tracked | smr-rebuttal |
A later gate never compensates for an earlier one: polished exhibits cannot rescue a paper whose
"method" is an application, and released code cannot rescue an underived property.
Worked routing pass
Illustrative vignette: an author arrives with a new estimator for peer effects in network panels,
strong intuition, one simulation against OLS only, no real data, and code in a private folder.
- The fit gate passes (genuine estimator), but the theory gate fails first: the consistency claim
rests on an unstated network-sparsity condition. Route to smr-derivation-and-properties.
- The evidence gate fails next: the Monte Carlo compares only to naive OLS, not to the standard
network-autocorrelation and instrumental approaches a reviewer expects, and there is no real-data
illustration. Route to smr-simulation-studies, then smr-empirical-illustration.
- The software gate is deferred but flagged: the package must be public and reproduce the grid
before submission. Route to smr-software-and-reproducibility once results stabilize.
- Conformance items (ScholarOne, anonymization, availability statement) wait until the science gates
close.
Ordering principle: secure properties before evidence, evidence before exhibits, and software before
portal mechanics.
Venue facts that gate every route
Keep these SMR constants loaded while routing, reverifying volatile ones on live pages:
- A SAGE journal; the quantitative/statistical-methodology flagship in sociology — distinct from
Sociological Methodology (ASA annual), Psychological Methods (APA), and Political Analysis.
- Submission via ScholarOne Manuscripts; double-anonymized review (separate title page).
- ASA in-text and reference style; DataCite for dataset references; abstract **≤150 words with
no parenthetical citations** (检索于 2026-06;以官网为准).
- A data-and-code availability statement is required, with code/materials in a trusted repository;
a generative-AI disclosure in the back matter when AI tools were used.
- No submission fee; Sage Choice open access is a paid option (检索于 2026-06;以官网为准).
Output format
[Current stage] idea / theory / simulation / illustration / drafting / software / submission / review / R&R / accepted
[Next SMR skill] <skill name>
[Main bottleneck] <fit, properties, simulation, illustration, exhibits, software, conformance, or response>
[Anonymization risk] <any text that would deanonymize under double-anonymized review>
[Next action] <single concrete task>想直接用这个技能?
本站把开放许可(MIT / Apache 等)的技能按仓库打包整理到网盘,点一下转存到你自己的网盘,不用一个个从 GitHub 拉。许可未声明的技能只给原始仓库链接,不打包。
它属于哪个仓库
Sociological-Methods-and-Research-Skills/skills/smr-workflow/SKILL.md