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Record W4231574167 · doi:10.3138/7864-3362-3r24-6231

Anti-Haitianism, Historical Memory, and the Potential for Genocidal Violence in the Dominican Republic

2006· article· en· W4231574167 on OpenAlexvenueno aff
Edward Paulino

Bibliographic record

VenueGenocide Studies and Prevention · 2006
Typearticle
Languageen
FieldArts and Humanities
TopicCaribbean and African Literature and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsDenialCitizenshipThe RepublicGenocideCriminologyEthnic groupPolitical scienceGender studiesAfrican descentHuman rightsHistoryEthnologySociologyLawPsychology

Abstract

fetched live from OpenAlex

Following the 2005 murder of a Dominican woman near the border between the Dominican Republic and Haiti, Haitian communities were deported en masse and their homes violently ransacked by Dominican civilians seeking revenge. These violent expulsions were not only human-rights violations but part of a historic pattern of anti-Haitianism in the Dominican Republic that originated in the nineteenth century. This article calls attention to the possibility of genocidal violence in the Dominican Republic by examining the violent 2005 attacks on the Haitian community there. It suggests that an anti-Haitian legacy that includes the 1937 Haitian Massacre and the contemporary and systematic denial of Dominican citizenship to Dominicans of Haitian descent are important but understudied indicators that raise the potential for an escalation of mass violence against the largest ethnic and racial minority in the Dominican Republic.

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)0.003
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 score0.066
Threshold uncertainty score0.131

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0060.011
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.018
GPT teacher head0.239
Teacher spread0.221 · 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

Citations18
Published2006
Admission routes1
Has abstractyes

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