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Record W2988514765 · doi:10.1177/1028315319888890

Highly Cited in the South: International Collaboration and Research Recognition Among Brazil’s Highly Cited Researchers

2019· article· en· W2988514765 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Studies in International Education · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicScience and Science Education
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsLatin AmericansPolitical scienceInternational studiesPublic relationsLibrary scienceRegional scienceSociologySocial science

Abstract

fetched live from OpenAlex

For researchers in the global South, international recognition in science arguably involves engaging with the norms, ideas, and people leading research activity in the global North. This article explores the relationship between international research collaboration and the publication activity of highly cited researchers in Brazil, a country that exerts regional leadership in scientific production in Latin America, but remains relatively peripheral to global science. This study examined the career trajectories and publication patterns of highly cited researchers based in Brazilian universities, using Web of Science and CV data. Our findings show a pattern of international mobility among the Brazilian highly cited researchers from the early stages of their careers. With few exceptions, engagement with the academic Anglosphere is central to their achievement of highly cited status, which is derived from co-authored publications with collaborators from the United States, the United Kingdom, and Australia in large teams.

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)0.011
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.147
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0000.001
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.265
GPT teacher head0.539
Teacher spread0.275 · 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