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The Birth of a Discipline: o convênio Ford-Iuperj e a modernização da ciência política no Brasil (1967-1973)

2021· dissertation· pt· W3175918498 on OpenAlexfundno aff
Felipe Colla de Amorim

Bibliographic record

Venuenot available
Typedissertation
Languagept
FieldSocial Sciences
TopicSociology and Education in Brazil
Canadian institutionsnot available
FundersConselho Nacional de Desenvolvimento Científico e TecnológicoCanadian Food Inspection AgencyInter-American Development Bank
KeywordsModernization theoryPoliticsInternationalizationPolitical scienceDocumentationField (mathematics)SociologyPublic administrationLaw

Abstract

fetched live from OpenAlex

In the late 1960s, Brazilian political science underwent a process of academic modernization that transformed the discipline's theoretical assumptions, institutional arrangements, foreign dialogues, and thematic approach. The field isolated the previously dominating sociopolitical thought explanations and turned to a scientifically-guided, objective approach, with new methodological tools. With robust financial aid provided by U.S. philanthropic foundations, several newly-created research institutions and graduate programs helped accommodate young political scientists returning to Brazil after earning their PhDs abroad. This fields' new direction included a major investment in academic internationalization, which brought forth the development of a cross-national intellectual network. Thematically, these new academic trends envisioned the discipline as an applied and policy-oriented science with a say in non-academic public debate and a closer relationship to governmental issues. One of the protagonists of this modernization process was Iuperj (Instituto Universitrio de Pesquisas do Rio de Janeiro), founded in 1967 by the legal scholar and social thinker Candido Mendes de Almeida. With the philanthropic support from the Ford Foundation, the institute would establish itself in the coming decades as a leading political science center in the country both in training and research. Drawing on primary sourcesespecially the Ford-Iuperj grant agreement documentation and the personal papers of U.S. intellectuals

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 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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.341
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0030.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.040
GPT teacher head0.377
Teacher spread0.337 · 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 teacher head, not a consensus.

Study designQualitative
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
Published2021
Admission routes1
Has abstractyes

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