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Record W3149048175

La discriminación étnica y la apatridia en el contexto dominicano, desafíos socio-educativos

2015· article· es· W3149048175 on OpenAlexaff
Franklin Pimentel Torres

Bibliographic record

VenueRedPensar · 2015
Typearticle
Languagees
FieldSocial Sciences
TopicImmigration and Intercultural Education
Canadian institutionsRed Deer College
Fundersnot available
KeywordsPersonaHumanitiesPolitical scienceArt
DOInot available

Abstract

fetched live from OpenAlex

El territorio de la isla llamada por los pueblos originarios Haiti ha sido tierra de migracion desde hace varios milenios. En la actualidad el grupo principal de inmigrantes en Republica Dominicana son las personas haitianas, quienes vienen a trabajar en diferentes areas de la economia, aunque por cerca de un siglo (1886-1996), el trabajo se concentro en la industria azucarera. Mediante todo un prceso de manipulacion ideologica de la poblacion dominicana y de explotacion laboral de las personas inmigrantes haitianas y sus descendientes, las elites economicas y partidarias utilizaron su poder, su dinero y a algunas instituciones publicas y organismos del Estado dominicano, para crear leyes, normas y practicas discriminatorias, llegando a despojar a un numero significativo de personas de sus documentos de identidad y de su nacionalidad. Ademas convirtieron en apatridas a otro grupo significativo de personas dominicanas de ascendencia haitiana. Esta situacion de discriminacion y segregacion etnica, crea desafios socio-educativos para la formacion de la conciencia etica y politica, tanto en el sistema de educacion publica dominicano, como en los espacios de formacion de organizaciones populares y comunitarias.  Sobre eso reflexionaremos en el presente articulo.

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)0.004
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: Other · Consensus signal: none
Teacher disagreement score0.158
Threshold uncertainty score0.315

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0080.020
Scholarly communication0.0060.003
Open science0.0010.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.088
GPT teacher head0.451
Teacher spread0.364 · 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
GenreOther

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

Citations0
Published2015
Admission routes1
Has abstractyes

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