THE INFLUENCE OF FRENCH LANGUAGE THOUGHT ON THE BRAZILIAN ADMINISTRATIVE SCIENCES: A QUEBEC FRENCH LOOK
Bibliographic record
Abstract
RESUMO O objetivo deste artigo é dar uma olhada na influência que as obras de língua francesa têm exercido sobre a comunidade acadêmica brasileira nas últimas décadas, a partir do conhecimento do autor e sua longa associação do campo das ciências administrativas brasileiras. Para isso, o artigo está dividido em três partes. A primeira lembra a relação que o autor estabeleceu com a comunidade brasileira para localizar quem está falando e onde ele está falando. A segunda discute brevemente o vínculo histórico que o Brasil mantém, de um modo geral, com o pensamento francês. A terceira apresentará as principais correntes intelectuais que parecem, segundo o autor, ter chamado a atenção dos pesquisadores brasileiros em ciências administrativas. Esta reflexão se conclui com algumas considerações sobre o futuro da área e alguns desejos sobre as futuras relações entre pesquisadores brasileiros e pesquisadores francófonos.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".