The Birth of a Discipline: o convênio Ford-Iuperj e a modernização da ciência política no Brasil (1967-1973)
Bibliographic record
Abstract
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 Universitário 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
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.007 | 0.013 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".