Demog Literature Positioning

---
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."
category: marketing-and-growth
source_repo: brycewang-stanford/Awesome-Journal-Skills
source_path: "Demography-Skills/skills/demog-literature-positioning/SKILL.md"
source_url: https://github.com/brycewang-stanford/Awesome-Journal-Skills/blob/HEAD/Demography-Skills/skills/demog-literature-positioning/SKILL.md
---


# 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

1. **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.
2. **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.
3. **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.
4. **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."
5. **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 edit` rows 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.md` for 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`](../../resources/external_tools.md) — population data sources to anchor the literature
- [`../../resources/official-source-map.md`](../../resources/official-source-map.md) — Demography aims, scope, and "general interest" standard

---

**Source:** [`brycewang-stanford/Awesome-Journal-Skills`](https://github.com/brycewang-stanford/Awesome-Journal-Skills) → `Demography-Skills/skills/demog-literature-positioning/SKILL.md`