Reference health

Improving refugee integration through data-driven algorithmic assignment

https://doi.org/10.1126/science.aao4408
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22/22 checkable references clean · checked 2026-07-26

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

9 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 22 checked references that resolve
resolves10.1016/S2214-109X(15)00243-0
Borders and migration: an issue of global health importance
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Explaining the Refugee Gap: Economic Outcomes of Refugees versus Other Immigrants
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When lives are put on hold: Lengthy asylum processes decrease employment among refugees
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The Long-Term Impact of Employment Bans on the Economic Integration of Refugees
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Social Networks and the Dynamics of Labour Market Outcomes: Evidence from Refugees Resettled in the U.S.
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Ethnic Enclaves and Immigrant Labor Market Outcomes: Quasi‐Experimental Evidence
resolves10.1016/j.jpubeco.2014.04.002
Tradable immigration quotas
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Tradable Refugee-admission Quotas and EU Asylum Policy
resolves10.1198/106186006X137047
Optimal Full Matching and Related Designs via Network Flows
resolves10.1214/aos/1013203451
Greedy function approximation: A gradient boosting machine.
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Random Forests
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Regularization and Variable Selection Via the Elastic Net
resolves10.1093/pan/mpt019
Kernel Regularized Least Squares: Reducing Misspecification Bias with a Flexible and Interpretable Machine Learning Approach
resolves10.1145/1102351.1102430
Predicting good probabilities with supervised learning
resolves10.1145/775047.775151
Transforming classifier scores into accurate multiclass probability estimates
resolves10.1016/S0167-9473(01)00065-2
Stochastic gradient boosting
resolves10.1214/aos/1079120126
Population theory for boosting ensembles
resolves10.1214/aos/1079120128
Process consistency for AdaBoost
resolves10.1214/009053605000000255
Boosting with early stopping: Convergence and consistency
resolves10.1137/1.9781611972238
Assignment Problems
resolves10.1002/nav.3800020109
The Hungarian method for the assignment problem
resolves10.1137/0105003
Algorithms for the Assignment and Transportation Problems
The 9 references without a DOI — listed, not checked
no DOI — not checkedMédecins Sans Frontières The Illness of Migration: Ten Years of Medical Humanitarian Assistance to Migrants in Europe and in Transit Countries (2013); www.aerzte-ohne-grenzen.de/sites/germany/files/attachments/msf-the-illness-of-migration-2013.pdf.
no DOI — not checkedT. Andersson L. Ehlers Assigning Refugees to Landlords in Sweden: Stable Maximum Matchings (Lund University 2016); http://project.nek.lu.se/publications/workpap/papers/wp16_18.pdf.
no DOI — not checkedD. Delacrétaz S. D. Kominers A. Teytelboym Refugee Resettlement (University of Melbourne 2016); www.t8el.com/jmp.pdf.
no DOI — not checkedD. P. Bertsekas P. Tseng RELAX-IV: A Faster Version of the RELAX Code for Solving Minimum Cost Flow Problems (MIT Laboratory for Information and Decision Systems 1994).
no DOI — not checkedJ. H. Friedman T. Hastie R. Tibshirani The Elements of Statistical Learning (Springer ed. 2 2009).
no DOI — not checkedB. Zadrozny C. Elkan Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers. In Proceedings of the 18th International Conference on Machine Learning (2001) pp. 609–616.
no DOI — not checkedA. Niculescu-Mizil R. Caruana Obtaining calibrated probabilities from boosting. In Proceedings of the 21st Conference on Uncertainty in Artificial Intelligence (2005) pp. 413–420.
no DOI — not checkedJ. C. Platt in Advances in Large Margin Classifiers A. J. Smola P. Bartlett B. Schölkopf D. Schuurmans Eds. (MIT Press 2000) chap. 5.
no DOI — not checkedG. Ridgeway Package ‘gbm’ Tech. rep. CRAN (2017).
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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