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Poq submission

Skill brycewang-stanford/Awesome-Journal-Skills/Public-Opinion-Quarterly-Skills/skills/poq-submission

Use when running the final pre-submission preflight for Public Opinion Quarterly (POQ) via ScholarOne Manuscripts — submission-type selection, double-blind preparation, word caps, AAPOR-standard Appendix A disclosure, the Data Availability Statement, and the replication package. Final checks; it does not draft content.From its SKILL.md

Install
npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill poq-submission

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SKILL.md

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Submission Preflight (poq-submission)

The last check before pressing submit on ScholarOne Manuscripts. POQ is double-blind, so the single most common avoidable failure is an under-anonymized manuscript — and the second is a missing or incomplete Appendix A: Disclosure Elements. Verify volatile specifics on the official page before relying on them.

When to trigger

  • "Submitting tomorrow" — last pass before upload
  • Unsure which files/metadata ScholarOne expects
  • Confirming the type's word cap is met and the manuscript is properly anonymized and disclosed

Process facts (verify volatile items on the official page)

  • Publisher / affiliate: Oxford University Press / American Association for Public Opinion Research (AAPOR).
  • Portal: ScholarOne Manuscripts (mc.manuscriptcentral.com/poq).
  • Review model: double-blind — anonymize the manuscript; provide a separate title page.
  • Submission types & caps (text + notes; exclude figures, tables, references, appendices): Original Article ≤ 6,500; Research Note < 3,000; Polls in Context ≤ 2,500; Research Synthesis ≤ 6,500 (incl. notes); Book Review ~1,200.
  • AAPOR disclosure: Appendix A: Disclosure Elements for all data reported (funding, exact wording, population, sample design, mode + dates, response rate per AAPOR definitions, sample sizes + precision, clustering/weighting design effects).
  • Data policy: replication package to POQ's Harvard Dataverse; Data Availability Statement in the endmatter; materials archived before typesetting.
  • Fee: no submission fee stated (consistent as of 2026-06-22); any open-access APC handled by OUP after acceptance — re-verify current charges on the OUP page before submission (待核实).

Preflight checklist

Type & length

  • Type chosen and its word cap met (Article ≤ 6,500 / Note < 3,000 / Polls ≤ 2,500 — text + notes)
  • Abstract present and within the current requirement (待核实 on exact cap)
  • Footnotes/endnotes counted toward the cap; long methods moved to appendices (excluded)

AAPOR disclosure (the POQ-specific gate)

  • Appendix A: Disclosure Elements present and complete for every dataset
  • Response rate stated with AAPOR Standard Definition + calculation
  • Sample design, mode, dates, sample sizes, precision, weighting/clustering documented

Anonymity (double-blind)

  • No author names, affiliations, or acknowledgments in the manuscript
  • No obvious self-references; self-citations neutralized
  • Identifying file metadata stripped (document properties, comments)
  • Separate (non-anonymous) title page prepared as a distinct file

Data & files

  • Replication package staged for POQ's Dataverse (reproduces every table/figure)
  • Data Availability Statement drafted for the endmatter
  • Ethics / IRB / human-subjects compliance addressed
  • Figures/tables self-contained and accessible (see poq-tables-figures)

How the editorial office reads your upload

Think of the ScholarOne package as being screened in this order, and stage files so each check passes on the first look:

  1. Anonymity sweep — the anonymized main document is opened first. A name in the running header, an "as we showed (Author 2023)" self-citation, or author initials in tracked-changes metadata sends the package back before any editor reads the abstract. Export a fresh PDF/DOCX and check File → Properties, not just the visible text.
  2. Type-and-cap check — the declared submission type is compared against the word count you enter. Count text + notes yourself before upload; an Article-length manuscript declared as a Research Note is returned, not silently retyped.
  3. Disclosure scan — the office looks for Appendix A by name. Label it exactly "Appendix A: Disclosure Elements," one block per dataset, response-rate formula named (e.g., AAPOR RR3), so a screener can verify completeness without reading the methods section.
  4. Endmatter — Data Availability Statement present, Dataverse plan stated, IRB noted. Missing endmatter is the most common cause of a revise-before-review email.

A package that survives all four screens goes to the editor with no round-trip — often saving two weeks of calendar time before first decision.

Anti-patterns

  • Leaving author identifiers in the text, acknowledgments, or file metadata (breaks double-blind)
  • A missing or incomplete Appendix A; a response rate with no AAPOR definition
  • Sending a long paper to the Research Note or Polls in Context track
  • Counting figures/tables against the cap (they are excluded) while ignoring footnotes (they count)
  • Budgeting for a submission fee that is not charged (verify)

Output format

【Type】Article / Note / Polls in Context / Synthesis / Book Review (cap met? Y/N)
【Appendix A】complete + AAPOR response rate calculation? [Y/N]
【Anonymized】text + self-refs + file metadata clean? [Y/N]
【Word count】within cap (text + notes)?
【Repro package + DAS】staged for POQ Dataverse + DAS drafted? [Y/N]
【Next】await decision → poq-rebuttal on R&R

Supplementary resources

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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