Demog Review Process

Review Process (demog-review-process)

Knowing how Demography screens and decides lets you pre-empt the failure modes before submitting. Demography is double-blind and runs a pre-review with the Editor or a Deputy Editor before external review.

When to trigger

• Before submitting, to stress-test against desk-rejection grounds
• Interpreting a decision letter and setting expectations
• Understanding the role of topic-area Deputy Editors
• Deciding how to anonymize and how to frame general interest

How Demography review works

1. Double-blind. Authors are not told reviewer names and reviewers are not told author names. Avoid self-identifying references so anonymity holds (see demog-submission).
2. Pre-review / desk screening first. Every manuscript passes a pre-review with the Editor or an assigned Deputy Editor. It is first checked for compliance with word and table/figure limits, then assessed for suitability. A paper may be desk-rejected when it is (1) inappropriate for Demography or (2) unlikely to receive favorable evaluations from external reviewers. Desk rejections usually occur within the first few weeks.
3. Topic-area Deputy Editors. Deputy Editors who specialize in the major areas of demography help select expert reviewers, synthesize the reviews, and make a recommendation to the Editor.
4. External review. Manuscripts passing the desk go to expert demographer reviewers.
5. Decision and revision. Standard scholarly outcomes (reject / revise-and-resubmit / accept); confirm the exact categories and any timelines on the official page (see 待核实).

Shape the paper to pass

• Make general interest to demographers explicit (avoids the "inappropriate for Demography" desk rejection) — see demog-topic-selection and demog-literature-positioning.
• Meet the word and table/figure limits before submitting (the pre-review checks compliance first).
• Get the demographic method right (rates, exposure, identification) so expert reviewers see rigor.
• Anticipate the strongest rival demographic explanation and answer it in the design.

Anti-patterns

• Submitting a paper that uses demographic data but asks no population question (fit desk rejection)
• Exceeding the word or table/figure limits (caught at the compliance pre-review)
• Leaving self-identifying references that compromise double-blind review
• Expecting external review for a paper unlikely to earn favorable reviews — that is a desk-reject ground

Review-risk 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: Turn likely reviewer objections into a ledger with response evidence, manuscript location, and the decision-maker who must be convinced first.
• 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

【Fit check】is it appropriate for Demography (a population question of general interest)? [Y/N]
【Compliance】word + table/figure limits met for the chosen type? [Y/N]
【Method rigor】rates/exposure/identification defensible to expert reviewers? [Y/N]
【Anonymity】no self-identifying references? [Y/N]
【Realistic outcome】desk-reject / R&R / (rare) accept
【Next】demog-submission (or demog-rebuttal if decided)

Supplementary resources

• ../../resources/official-source-map.md — review-process page (double-blind, pre-review, desk rejection, Deputy Editors)

Source: brycewang-stanford/Awesome-Journal-Skills → Demography-Skills/skills/demog-review-process/SKILL.md