MétaCan
Menu
Back to cohort
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 OpenAlexaff
Allison Petrozziello

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score0.138

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations23
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueInternational MigrationSame topicMigration and Labor DynamicsFrench-language works237,207