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TENDENCIAS MIGRATORIAS EN BRASIL. Derechos humanos, securitización y retos pendientes

2025· book-chapter· es· W4412433805 on OpenAlexfundno aff
Bela Feldman-Bianco, Igor José de Renó Machado, Alexandre Branco-Pereira, Antônio Tadeu Ribeiro de Oliveira

Bibliographic record

Venuenot available
Typebook-chapter
Languagees
FieldSocial Sciences
TopicMigration, Racism, and Human Rights
Canadian institutionsnot available
FundersInternational Labour OrganizationInternational Development Research Centre
KeywordsPolitical science

Abstract

fetched live from OpenAlex

Teniendo en cuenta la desigualdad social racializada histórica de Brasil, este ensayo examina si la Constitución Ciudadana de 1988 ha influido en la construcción de políticas migratorias basadas en los derechos fundamentales y las demandas de los movimientos sociales de migrantes, refugiados y apátridas, y en qué medida lo ha hecho. Con este f in, trazamos los retos, los logros y los obstáculos para formular políticas basadas en la noción de los migrantes como sujetos de derechos frente al brutalismo del actual capitalismo neoliberal, el contexto político brasileño más amplio y la construcción de un nuevo régimen mundial de control de la migración.

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)0.000
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: Other · Consensus signal: Other
Teacher disagreement score0.162
Threshold uncertainty score0.322

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0040.005
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.015
GPT teacher head0.293
Teacher spread0.277 · 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
Published2025
Admission routes1
Has abstractyes

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