Evidence map›Paper›PMID 39899723›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Estimating the legibility of international borders.

Michael Kenwick, Junghyun Lim, Skyler Crane, Scott Wehrwein, Beth A Simmons

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Estimating the legibility of international borders.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Michael KenwickDepartment of Political Science, Rutgers University, New Brunswick, NJ 08901.ORCID 0000-0003-1055-7251
Junghyun LimDepartment of Political Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599.
Skyler CraneDepartment of Computer Science, Western Washington University, Bellingham, WA 98225.
Scott WehrweinDepartment of Computer Science, Western Washington University, Bellingham, WA 98225.
Beth A SimmonsDepartment of Political Science and Penn Carey Law, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0001-8207-713X

Funding

Carnegie Corporation of New York (CCNY) G-F-18-56213NSF (NSF) 1917573
6 · The paper itself

Abstract

Researchers in the social sciences are interested in the consequences of institutions, increasingly on a global scale. Institutions that may be negotiated between states can have consequences at a microlevel, as local populations adjust their expectations and ultimately even their behavior to take institutional rules into account. However, large-scale fine-grained analyses that test for the complex evidence of such institutions locally are rare. This article focuses on a key institution: International borders. Using computer vision techniques, we show that it is possible to produce a geographically specific, validated, and replicable way to characterize

Indexed as

border legibilitycomputer visioninternational institutions

Identifiers

PMID39899723
PMCPMC11831178

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.