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Record W2171642275 · doi:10.3390/laws3010163

Migratory Policy as an Exclusionary Tool: The Case of Haitians in the Dominican Republic

2014· article· en· W2171642275 on OpenAlexaff
Natalia Mazzaglia, Pedro F. Marcelino

Bibliographic record

VenueLaws · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Identity, and Health
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsDe factoLegislaturePoliticsConsolidation (business)Political scienceThe RepublicMultidisciplinary approachRacismState (computer science)SociologyGender studiesPolitical economyDevelopment economicsLaw

Abstract

fetched live from OpenAlex

This article examines major changes in the migratory policy of the Dominican Republic over the last decade, and how they possibly relate to the consolidation of racist perceptions of the Other, prevalent since the Haitian and Dominican independence wars in the early 19th century. Generally focusing on the intersection of politics, exclusion, and Otherness, the paper takes a multidisciplinary approach fundamentally focused on the juridical and legislative processes, whenever the rule of law is presented as a legitimizing vehicle through which racism is expressed. Considering the conceptual usefulness of migration as a threat, the article problematizes cultural and biologic understandings of Haitian migrants in the Dominican Republic, and their legislative reduction to ‘bare life’. It finally examines the convenience of Haitian lives for the Dominican State, conditioned by de facto and de jure processes of exclusion.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.241
Threshold uncertainty score0.480

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0290.013
Scholarly communication0.0040.002
Open science0.0010.005
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.031
GPT teacher head0.366
Teacher spread0.335 · 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 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

Citations6
Published2014
Admission routes1
Has abstractyes

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