jpart-review-process
Use to understand how the Journal of Public Administration Research and Theory (JPART) evaluates a manuscript — double-blind review, desk screening on theory and fit, the reject / R&R / accept decision categories, and the PMRA/OUP editorial context. Sets expectations and shapes the paper to survive review; it does not contact editors.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jpart-review-process --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.
# Review Process (jpart-review-process) Knowing how JPART screens and decides lets you pre-empt the failure modes before submitting. JPART runs a **double-blind** review and screens hard for a **theory contribution and field fit** before sending a paper out. Its detailed reviews report perceived strengths/weaknesses, the basis for the decision, and advice on how to proceed. ## When to trigger - Before submitting, to stress-test against desk-rejection grounds - Deciding whether the paper is really a JPART paper vs. PAR/JPAM/Governance - Interpreting a decision letter and setting expectations - Understanding what reviewers are instructed to weigh ## How JPART review works 1. **Double-blind.** Reviewers do not know the authors and authors do not know reviewers. Anonymize the manuscript accordingly (see `jpart-submission`): cite your own work in the third person, keep acknowledgments/funding on the cover sheet only. 2. **Desk screening first.** The editors screen for fit before external review. The decisive grounds are typically: - **Theory** — no public-management theory contribution; a finding with no mechanism or "implications for theory." JPART's abstract template makes the theory
- When to trigger
- How JPART review works
- Shape the paper to pass
- Desk-screen ledger
- Anti-patterns
- Output format
- Supplementary resources
What does the jpart-review-process skill do?
Use to understand how the Journal of Public Administration Research and Theory (JPART) evaluates a manuscript — double-blind review, desk screening on theory and fit, the reject / R&R / accept decision categories, and the PMRA/OUP editorial context. Sets expectations and shapes the paper to survive review; it does not contact editors.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jpart-review-process --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.