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Record W2898836384 · doi:10.1111/imig.12527

(Re)producing Statelessness via Indirect Gender Discrimination: Descendants of Haitian Migrants in the Dominican Republic

2018· article· en· W2898836384 on OpenAlex
Allison Petrozziello

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Migration · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsStatelessnessCitizenshipNationalityPolitical scienceInterpretation (philosophy)LawGender studiesSociologyImmigrationPolitics

Abstract

fetched live from OpenAlex

Abstract Gender discrimination as a risk factor for statelessness has been understood as direct discrimination whereby legal frameworks prohibit mothers from conferring their nationality. This article discusses research findings from the Dominican Republic where indirect gender discrimination, evident in documentation and birth registration practices applicable to Haitian migrants and descendants, is causing matrilineal transmission of statelessness. Restricting access to citizenship has become a form of migration control, just as the creation of temporary, ad hoc status forms allows the state to sidestep responsibilities for migrant incorporation. If the links between gender and statelessness are not only legal, but also historical, structural, and procedural, then disrupting this cycle requires more than legal reform. For advocacy campaigns, such as UNHCR 's # IB elong Campaign and the Global Campaign for Equal Nationality Rights, to be successful, they must adopt a broader interpretation of the relationship between gender and statelessness, based on CEDAW 's substantive conception of gender equality.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.768
Threshold uncertainty score0.967

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.048
GPT teacher head0.343
Teacher spread0.295 · 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