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Record W4412632152 · doi:10.1080/1369183x.2025.2534416

Unpacking ‘birth tourism’: incidental citizenship and the diverse migration and reproduction trajectories of nonresident mothers in Canada

2025· article· en· W4412632152 on OpenAlexafffundabout
Amanda R. Cheong, Megan Gaucher, Jing Li, Stephanie Nedoshytko, Jamie Liew, Angela M. Contreras-Chavez, Hilal Kina, Nikita Anastasia Mcdavid, David Brush

Bibliographic record

VenueJournal of Ethnic and Migration Studies · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsUniversity of OttawaCarleton UniversityUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of CanadaMitacsUniversity of Ottawa
KeywordsUnpackingCitizenshipReproductionTourismGender studiesSociologyImmigrationPolitical scienceDemographic economicsGeographyLawEconomicsBiology

Abstract

fetched live from OpenAlex

Birth tourism in Canada is defined as the practice of giving birth on Canadian soil while on a nonresident visa for the express purpose of enabling the child to obtain Canadian citizenship. Proponents of restricting territorial birthright citizenship in Canada portray birth tourism as an illegitimate form of citizenship acquisition, and as a threat to the institution of Canadian citizenship. Yet, very little is known empirically about the motivations of people who are labelled as ‘birth tourists’. Analyzing 49 in-depth interviews with nonresident mothers who gave birth in Canada, we argue that this population is reductively, inaccurately characterised as strictly instrumental citizenship seekers. Our findings reveal that mothers had diverse migratory and reproductive motivations and experiences that ranged from ‘strategic’ to ‘accidental,’ and that giving birth in Canada was often what we term ‘incidental’ to other personal and professional aspirations pursued across international borders. Proposals to thwart birth tourism by abolishing unrestricted jus soli citizenship therefore risk excluding a diverse cross-section of migrants who have a range of reasons for having families in Canada, including those who may end up forming meaningful, enduring attachments to Canadian society. This article thus denaturalizes the myth of the deserving, 'natural-born' citizen.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.677
Threshold uncertainty score0.692

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.034
GPT teacher head0.326
Teacher spread0.292 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes3
Has abstractyes

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