Emerson de Almeida and the Creation of Fundação Dom Cabral: Leading a Brazilian Revolution in Executive Education
Bibliographic record
Abstract
Abstract As of 2020, London's Financial Times had ranked Fundação Dom Cabral (FDC) as one of the world's leading executive education institutions and the top such institution in Latin America for 15 consecutive years. In 2011, FDC was also ranked fifth on the Financial Times' list of the 40 most respected business schools in the world. For FDC itself and for its co-founder, Emerson de Almeida, this recognition was a wonderful way of celebrating the 35th anniversary of an institution that has become a leader in applied management education in Brazil. How did this young Brazilian institution achieve this? As is the case for any great undertaking, many people played crucial roles in its creation and consolidation. However, its history is closely tied to the life of its co-founder, Emerson de Almeida. Emerson was FDC's Chief Executive from its foundation in 1976 until 2012, when he became President of its Board of Governance.1 He is primarily an innovator and drew his inspiration from visits to world-renowned business schools. Once he understood the needs arising from executive thinking processes, he was able to adapt these schools' best practices to suit the Brazilian culture and context. ‘You must always try the impossible’, he says. This case study presents the story of an exceptional institutional intrapreneur who championed and led the transformation of executive education in Brazil.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".