smr-submission
Use when running the final Sociological Methods & Research (SMR) pre-submission check for ScholarOne — double-anonymization, separate title page, ASA style, ≤150-word non-parenthetical abstract, data-and-code availability statement, AI disclosure, and file formats. Preflights the submission; does not draft the science.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill smr-submission --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# SMR Submission Use this immediately before submitting through ScholarOne Manuscripts. Reverify every volatile item on the live SAGE author page first; portals and policies change. ## Preflight - Confirm submission goes through **ScholarOne Manuscripts** for SMR; create/log in to the Author Center and start a new submission (检索于 2026-06；以官网为准). - Prepare a **separate title page** and an **anonymized main document** — SMR uses **double-anonymized** review, so the main file must carry no author-identifying content. - Accepted file formats are **Word, LaTeX, or PDF** (检索于 2026-06；以官网为准). - Citations and references in **ASA** style; dataset references in **DataCite** style. - **Abstract ≤150 words with no parenthetical citations.** - Include the **data-and-code availability statement** describing how data, code, and materials can be permanently accessed (repository/DOI, access conditions for restricted data). - Add the **generative-AI disclosure** in the back matter if AI tools were used; if not, none is needed. - **Fees**: there is **no submission fee** (verified 2026-06-22); open access is optional and paid via **Sage Choice** (a figure around **US$3,900 + taxes** surfaced on the SA
- Preflight
- Final-hour order
- Worked preflight: a missing-data estimator vignette
- ScholarOne slip list
- Output format
What does the smr-submission skill do?
Use when running the final Sociological Methods & Research (SMR) pre-submission check for ScholarOne — double-anonymization, separate title page, ASA style, ≤150-word non-parenthetical abstract, data-and-code availability statement, AI disclosure, and file formats. Preflights the submission; does not draft the science.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill smr-submission --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.