demog-literature-positioning
GitHub针对《Demography》期刊,将人口学手稿定位为对人口科学界具普遍兴趣的贡献。通过连接跨组件文献、精准命名缺口及预判反驳,避免被拒稿,确保文章契合编辑对“一般兴趣”的要求。
Trigger Scenarios
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill demog-literature-positioning -g -y
SKILL.md
Frontmatter
{
"name": "demog-literature-positioning",
"description": "Use when positioning a Demography (PAA \/ Duke University Press) manuscript against the population-science literature so it reads as a contribution of general interest to demographers. Demography readers span fertility, mortality, migration, family, and health, so the paper must engage the demographic literatures they expect. Stakes the contribution; it does not write the lit review."
}
Literature Positioning (demog-literature-positioning)
Demography editors screen for whether a paper is "of general interest to demographers." A paper that engages only a narrow applied literature — and not the demographic conversation it belongs to — reads as off-fit and risks desk rejection. The goal is to place the paper where population scientists across components can see the gap and the move.
When to trigger
- Drafting or revising the introduction and the "contribution" paragraph
- A reviewer said you "missed the demographic literature" or "this is just an applied paper"
- Your applied literature is solid but the paper doesn't connect to population science
- You need to distinguish your contribution from the closest prior demographic work
How Demography wants the literature engaged
- Engage the demographic conversation, not a pile of citations. Identify the open question in population science your paper speaks to — a contested trend, an unexplained gap, a measurement dispute, a mechanism debate.
- Two audiences at once. Satisfy specialists in your component (you know the frontier) and general demographers (why it matters for population change). A mortality reader should see why your fertility paper matters.
- Name the gap precisely. Not "little is known" — say what is mismeasured, undertheorized, or contested in the demographic record, and why resolving it advances population science.
- Position the contribution as a move. "Prior work attributes the trend to X; we decompose it and show component Y, not X, drives it" — or "the standard measure conflates tempo and quantum; we separate them."
- Pre-empt the obvious objection. Reviewers are expert demographers; acknowledge the strongest
rival explanation and say how your design adjudicates it (hand off to
demog-research-design).
Cross-component engagement (a distinctive Demography demand)
| If your paper is… | also engage… |
|---|---|
| an estimate of a fertility/mortality/migration trend | the broader population-change literature it bears on |
| a measurement or formal-demographic advance | the substantive literatures that will use the measure |
| a single-country case | the comparative/general demographic theory it speaks to |
| a health or family outcome | the demographic consequences (aging, structure, life expectancy) |
Anti-patterns
- A "literature dump" with no organizing demographic question
- Engaging only a narrow applied (e.g., clinical or single-policy) literature
- Strawmanning prior demographic estimates, or hiding the closest competitor study
- Self-citation that breaks double-blind anonymity (avoid self-identifying references — see
demog-submission) - Claiming "first to study" when the contribution is incremental
Positioning pass for Demography
Run this as a concrete capability pass. First lock the demographic process, data source, time scale, selection/migration/mortality issue, and uncertainty; then test whether the manuscript addresses population-science reviewers who inspect demographic process, measurement, cohort/period logic, and population validity.
- Primary move: Build a three-column map: incumbent conversation, unresolved tension, and this manuscript's delta; include one sibling-venue omission that would make a referee doubt the fit.
- Decision ledger: return
claim / evidence / blocker / next editrows so the next pass can patch the manuscript directly. - Sibling comparison: compare against Population and Development Review for policy synthesis, JMF for family process, Social Forces for broader sociology; if the neighboring outlet has the stronger audience claim, recommend re-routing before polishing.
- Verification floor: before submission-ready advice, re-open
resources/official-source-map.mdfor volatile rules and name the one unresolved fact that could change the recommendation.
Output format
【Conversation】the open demographic question / contested trend
【Key works】the 3-6 that define it (incl. cross-component)
【Gap】what is mismeasured / unexplained / contested
【Move】how this paper changes the demographic record or understanding
【Strongest rival】and how the design will adjudicate it
【Next】demog-theory-building
Supplementary resources
../../resources/external_tools.md— population data sources to anchor the literature../../resources/official-source-map.md— Demography aims, scope, and "general interest" standard
Version History
- 1839142 Current 2026-07-05 12:50


