--- name: humrel-submission description: 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. --- # Submission Preflight (humrel-submission) ## 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 ```text 【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 - [`templates/checklist.md`](templates/checklist.md) — submission self-check - [`templates/manuscript_template.md`](templates/manuscript_template.md) — lightweight manuscript scaffold - [`../../resources/official-source-map.md`](../../resources/official-source-map.md) — official URLs and volatile facts