Submission Preflight (humrel-submission)

SkillDev tools

Use when running the final pre-submission preflight for Human Relations (HR) via ScholarOne, anonymization, the 13k word cap, SAGE Harvard style, abstract/keywords, AI and data-transparency declarations. Final checks; it does not draft content.

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Submission Preflight (humrel-submission) skill

What this skill tells your AI

The instructions your AI receives, as published by brycewang-stanford/awesome-journal-skills in Human-Relations-Skills/skills/humrel-submission/SKILL.md and read by ahel’s review.

When to trigger

  • "Submitting tomorrow" — last check before pressing submit on ScholarOne
  • Unsure which files, declarations, and format the HR submission expects
  • Confirming the manuscript is fully anonymized for double-anonymous review
  • Checking length, abstract, keywords, and SAGE Harvard compliance

Process facts (source map refreshed 2026-06; re-confirm on the official pages)

  • HR is published by SAGE for the Tavistock Institute of Human Relations (founded 1947, monthly). Submission is through ScholarOne / ManuscriptCentral (mc.manuscriptcentral.com/hr).
  • Review model: double-anonymous. The manuscript must contain no author names or identifying details and no links to external websites that could reveal authorship.
  • Length: 13,000 words total, including references and appendices (检索于 2026-06;以官网为准).
  • Abstract: 100–200 words, jargon-free, stating the topic/question, approach, and theoretical contribution; keywords as searchable key phrases.
  • Referencing: SAGE Harvard (author-date) (检索于 2026-06;以官网为准).
  • Editorial scoping screen before full review: "suitable data are a necessary but not sufficient feature to get to full peer review" — the theoretical contribution and HR fit must be legible up front. Article types: original empirical, theory-development, and intervention pieces; critical/analytical reviews are accepted only through the annual special-issue call.
  • AI policy: any AI use must be declared at submission and detailed in the cover letter; AI is permitted only for copy-editing/proofing — using it otherwise, or undisclosed, is grounds for rejection/retraction.
  • Data transparency matrix: if multiple papers draw on the same dataset, declare them and supply a matrix of which variables/quotations each uses; violation is grounds for rejection.
  • Manuscripts are checked with iThenticate/CrossCheck for prior publication; HR follows COPE standards.
  • Co-Editors-in-Chief: Smriti Anand and Penny Dick (verified 2026-06-22 via the journal editorial-team page; re-verify before submission) — address the cover letter to the editors, not a named individual unless verified.

Preflight checklist

Anonymization (double-anonymous)

  • No author names, affiliations, or identifying acknowledgements anywhere in the manuscript
  • Self-citations phrased neutrally (no "in our earlier work")
  • No live URLs, no identifying field-site/organization names, no grant numbers that reveal authorship
  • A separate (non-anonymized) title page uploaded as its own file, per portal fields

Format & style

  • Total length ≤13,000 words including references and appendices
  • Abstract 100–200 words, jargon-free, naming the theoretical contribution; key-phrase keywords supplied
  • References in SAGE Harvard (author-date), consistent in-text and in the list
  • Exhibits legible, anonymized, and within the word budget

Declarations & files (ScholarOne)

  • Cover letter to the editors: the contribution, HR fit, and AI-use declaration (if any)
  • Data transparency matrix attached if the dataset spans multiple papers
  • Article type selected correctly (do not submit a stand-alone review outside the special-issue call)
  • Ethics/COPE compliance confirmed; not under review elsewhere; AI not listed as an author

Anti-patterns

  • Leaving author-identifying traces in a double-anonymous submission (the most common desk return)
  • Exceeding 13k words and assuming an appendix is "free"
  • A cover letter that describes the topic but not the theoretical contribution — a scoping-screen risk
  • Submitting a stand-alone critical review outside the annual special-issue call
  • Undisclosed AI use, or AI use beyond copy-editing
  • Inconsistent or non-SAGE-Harvard references

Output format

【Journal】Human Relations
【Skill】humrel-submission
【Anonymization】no author/site/grant tells; separate title page? [Y/N]
【Length】≤13,000 words incl. refs + appendices? [Y/N]
【Abstract】100–200 words + key-phrase keywords? [Y/N]
【Style】SAGE Harvard references consistent? [Y/N]
【Declarations】AI use declared; data matrix if needed; correct article type? [Y/N]
【Next step】submit via ScholarOne → humrel-review-process for what to expect

Supplementary resources

Signals

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github.com/brycewang-stanford/awesome-journal-skills