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 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
Source: brycewang-stanford/Awesome-Journal-Skills → Demography-Skills/skills/demog-literature-positioning/SKILL.md
1---2name: demog-literature-positioning3description: 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.4---5
6
7# Literature Positioning (demog-literature-positioning)
8
9Demography editors screen for whether a paper is "**of general interest to demographers**." A paper
10that engages only a narrow applied literature — and not the demographic conversation it belongs to —
11reads as off-fit and risks desk rejection. The goal is to place the paper where **population
12scientists across components** can see the gap and the move.
13
14## When to trigger
15
16- Drafting or revising the introduction and the "contribution" paragraph
17- A reviewer said you "missed the demographic literature" or "this is just an applied paper"
18- Your applied literature is solid but the paper doesn't connect to population science
19- You need to distinguish your contribution from the closest prior demographic work
20
21## How Demography wants the literature engaged
22
231. **Engage the demographic conversation, not a pile of citations.** Identify the open question in
24 population science your paper speaks to — a contested trend, an unexplained gap, a measurement
25 dispute, a mechanism debate.
262. **Two audiences at once.** Satisfy specialists in your component (you know the frontier) *and*
27 general demographers (why it matters for population change). A mortality reader should see why your
28 fertility paper matters.
293. **Name the gap precisely.** Not "little is known" — say what is mismeasured, undertheorized, or
30 contested in the demographic record, and why resolving it advances population science.
314. **Position the contribution as a move.** "Prior work attributes the trend to X; we decompose it and
32 show component Y, not X, drives it" — or "the standard measure conflates tempo and quantum; we
33 separate them."
345. **Pre-empt the obvious objection.** Reviewers are expert demographers; acknowledge the strongest
35 rival explanation and say how your design adjudicates it (hand off to `demog-research-design`).
36
37## Cross-component engagement (a distinctive Demography demand)
38
39| If your paper is… | also engage… |
40|-------------------|--------------|
41| an estimate of a fertility/mortality/migration trend | the broader population-change literature it bears on |
42| a measurement or formal-demographic advance | the substantive literatures that will use the measure |
43| a single-country case | the comparative/general demographic theory it speaks to |
44| a health or family outcome | the demographic consequences (aging, structure, life expectancy) |
45
46## Anti-patterns
47
48- A "literature dump" with no organizing demographic question
49- Engaging only a narrow applied (e.g., clinical or single-policy) literature
50- Strawmanning prior demographic estimates, or hiding the closest competitor study
51- Self-citation that breaks double-blind anonymity (avoid self-identifying references — see `demog-submission`)
52- Claiming "first to study" when the contribution is incremental
53
54
55## Positioning pass for Demography
56
57Run 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.
58
59- **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.
60- **Decision ledger:** return `claim / evidence / blocker / next edit` rows so the next pass can patch the manuscript directly.
61- **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.
62- **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.
63
64## Output format
65
66```
67【Conversation】the open demographic question / contested trend
68【Key works】the 3-6 that define it (incl. cross-component)
69【Gap】what is mismeasured / unexplained / contested
70【Move】how this paper changes the demographic record or understanding
71【Strongest rival】and how the design will adjudicate it
72【Next】demog-theory-building
73```
74
75## Supplementary resources
76
77- [`../../resources/external_tools.md`](../../resources/external_tools.md) — population data sources to anchor the literature
78- [`../../resources/official-source-map.md`](../../resources/official-source-map.md) — Demography aims, scope, and "general interest" standard
79
80---
81
82**Source:** [`brycewang-stanford/Awesome-Journal-Skills`](https://github.com/brycewang-stanford/Awesome-Journal-Skills) → `Demography-Skills/skills/demog-literature-positioning/SKILL.md`
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