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Universidades Federais Brasileiras com Vagas para Refugiados

2023· article· en· W4384835047 on OpenAlex
Victória Magri Moreira de Carvalho, Luiza Aparecida Ranuzzi, Pedro Lucchetti Silva, Tatiana Cardoso Squeff, Thiago Paluma

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRevista da Faculdade de Direito da Universidade Federal de Uberlândia · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Racism, and Human Rights
Canadian institutionsnot available
FundersUniversidade Federal do Rio Grande do SulFundação de Amparo à Pesquisa do Estado de Minas GeraisForeign Affairs and International Trade CanadaUniversity of TorontoUniversidade Federal de Santa MariaUniversidade Federal de UberlândiaCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorConselho Nacional de Desenvolvimento Científico e TecnológicoUniversity of Ottawa
KeywordsPolitical science

Abstract

fetched live from OpenAlex

This research seeks to determine which federal universities have specific vacancies for refugees and to understand the specificities of their public notices. From an initial contact with the universities and a research based on a documentary and analytical methodology, a list of Brazilian universities that offer vacancies to refugees was made, as well as their common requirements. For this purpose, public notices published by the universities themselves were used, as well as legal documents that affirmed such affirmative actions within the internal regulations of these institutions. those that practice a more inclusive edict for refugees.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.677
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0040.000
Scholarly communication0.0020.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.041
GPT teacher head0.323
Teacher spread0.282 · 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