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Record W4402621457 · doi:10.1504/ijeed.2025.10066651

National university systems as agents for regional development: the Brazilian case

2024· article· en· W4402621457 on OpenAlex
W. E. Hewitt N.A.

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

VenueInternational Journal of Education Economics and Development · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Public Policy
Canadian institutionsWestern University
Fundersnot available
KeywordsRegional scienceRegional developmentGeographyPolitical scienceEnvironmental planning

Abstract

fetched live from OpenAlex

Post-secondary institutions in the Global South are playing an increasingly important role in the regional development process, providing educational services and training to citizens, developing important policy levers, and by supporting research and innovation. At the same time, such interventions within regional economies have been relatively uneven, and dependent upon the particular strengths and ambitions of regional institutions. Based upon an in-depth analysis of Brazil's extensive federal university network, this study attempts to move beyond current understandings within the literature to shed additional light on the factors that could help determine the effectiveness of the regional university's development function – particularly in a context of uneven regional growth. Specifically, it examines which elements of the national university system are effectively capable of undertaking this role, and then for these, how investments in post-secondary education have positioned federal universities to achieve this end. The study concludes that despite strong national policy incentives, significant challenges remain in the development of a national system that can fully address the needs and aspirations of Brazil's less affluent regions.

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 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 score0.929
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.059
GPT teacher head0.369
Teacher spread0.309 · 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