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Public Policy · 2016

Americans preferred Syrian refugees who are female, English-speaking, and Christian on the eve of Donald Trump's election

Americans preferred female, English-speaking, Christian Syrian refugees.

Adida, Claire L. · Adida2019

Read the paper ↗

01 / Human finding

What the study found

Americans preferred female, English-speaking, Christian Syrian refugees.

Paper page 1

Answer-key review: AI-reviewed

02 / Experiment design

Who chose, and what varied

Country
United States
Human respondents
1800
Attributes
5
Task
discrete choice

03 / Synthetic replication

Registry replication results

Current replication

Spearman rank correlation

Not measured

No current measurement is available in this registry.

Paper-era reference

2023 CLM mean Spearman ρ

0.91

Historical results use their original estimator and reference. They are not a matched comparison with the current run.

Detailed replication evidence · 2026-10-02

Right direction on 6 of 7 significant effects, partial ranking (ρ = 0.65); sizes not comparable (the paper uses other units).

Use it to screen which attributes move choice; sizes need the paper's respondent data, and confirm the reversed effect with people.

Inspect the measured run ↗

direction
mixed
rank
mixed
size
not comparable

Supported uses

  • Nothing yet without human confirmation.

Limits to keep in view

  • Ranking close levels against each other; the order diverges from humans.
  • Decisions that hinge on the attributes whose direction flipped (listed below).
  • Effect sizes in the paper's units; only direction, rank and shape are compared.

Effects on a common scale

Human effects: other. Synthetic effects are multiplied by the record’s calibration factor, k = 1.1703. Calibration aligns magnitude; it does not establish agreement in unadjusted effect sizes.

● Human   ◆ Calibrated synthetic · Lines show human 95% intervals where available.
-0.6300.63Religion: Religion is MuslimReligion: Religion is MuslimPrevious occupation: Previous occupation is TeacherPrevious occupation: Previous occupation is…Previous occupation: Previous occupation is DoctorPrevious occupation: Previous occupation is…English fluency: This applicant speaks broken EnglishEnglish fluency: This applicant speaks brok…English fluency: This applicant speaks no English and needed an interpreterEnglish fluency: This applicant speaks no E…Age: Age is 40 Years oldAge: Age is 40 Years oldAge: Age is 60 Years oldAge: Age is 60 Years oldSex: Sex is maleSex: Sex is male
Human and calibrated synthetic effects
Attribute / levelHumanHuman 95% half-widthCalibrated synthetic
Religion: Religion is Christian (reference)0.000Not measured0.000
Religion: Religion is Muslim-0.4860.090-0.223
Previous occupation: Previous occupation is Farmer (reference)0.000Not measured0.000
Previous occupation: Previous occupation is Teacher0.1080.0900.120
Previous occupation: Previous occupation is Doctor0.2550.0900.293
English fluency: This applicant speaks fluent English (reference)0.000Not measured0.000
English fluency: This applicant speaks broken English-0.241Not measured-0.334
English fluency: This applicant speaks no English and needed an interpreter-0.425Not measured-0.553
Age: Age is 20 Years old (reference)0.000Not measured0.000
Age: Age is 40 Years old0.0980.090-0.071
Age: Age is 60 Years old0.0490.090-0.233
Sex: Sex is female (reference)0.000Not measured0.000
Sex: Sex is male-0.1880.090-0.023

Respondent model comparison

Each row retains its recorded answer-key version and matched comparison. Scaled RMSE is shown with its corresponding scale factor.

ModelAnswer keySpearman ρScaled RMSEScale k
ensemble:bedrock-human-v510.600.2010.7639
google.gemma-3-27b-it10.560.1920.8175
zai.glm-510.520.2200.6278
databricks-claude-sonnet-410.450.2170.6398
mistral.mistral-large-3-675b-instruct10.450.2190.6131

04 / Evidence and limitations

Follow the evidence

Missing results mean unmeasured, not zero agreement.

    Measurement provenance

    Registry revision: 648f40378e9c. Estimator: ols.