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Rebel Universities in The Brazil of Anísio Teixeira: The University of The Federal District and The University of Brasília

2022· article· en· W4311948648 on OpenAlexvenueno aff
Libânia Nacif Xavier

Bibliographic record

VenueEncounters in Theory and History of Education · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Pedagogy and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsRelation (database)Higher educationPolitical scienceSociologyMedia studiesManagementLawEconomics

Abstract

fetched live from OpenAlex

This article analyzes two higher education institutions created by Anísio Teixeira, identifying the autonomous and, to a certain extent. rebellious nature of the institutional model which defined their organization. It is divided into three parts. The first deals with the Brazilian educational debate which marked the 1930s and 1960s, in the middle of competing projects for national construction. Next, the proposal for the organization of the University of the Federal District and its characterization as a rebel university is discussed. The third part seeks to understand the positions of Darcy Ribeiro and Anísio Teixeira in relation to the proposal for the University of Brasília, highlighting its innovative and rebellious nature in relation to the models in force in the 1960s. Finally, Teixeira’s legacy is assessed and his contribution to current thinking about some of the most important themes related to higher education in Brazil. Keywords: universities, Brazil; Anísio Teixeira

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)0.003
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.006
Scholarly communication0.0040.002
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.273
Teacher spread0.261 · 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
GenreEmpirical

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
Published2022
Admission routes1
Has abstractyes

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