O novo papel dos laboratórios públicos no contexto da reestruturação do Estado e dos mercados - o caso IREQ (Quebec) e CEPEL (Brasil)
Bibliographic record
Abstract
Public research has to adapt with the changing environment of the world market. The restructuring process of national economies is marked by the radical transformation of the State economic intervention, meanwhile major multinational groups are undergoing major reorganization in search for higher levels of competitiveness. Both processes affect public and private R&D investment. These movements are bringing about profound changes in the electrical equipment industry, redefining long and established relations between large State-owned enterprises, local suppliers and foreign subsidiaries. This paper analyses the technological strategies of two major public laboratories, their limits and potentials as well as the challenges associated with the reestructuration under way. The cases under study are the Institut de Recherche d'Hydro-Québec (Canada) and the Centro de Pesquisa em Energia Elétrica which belongs to Eletrobrás (Brazil). Over the past years, Ireq was able to shift its activities to attend the demand coming from market, while Cepel, which lacks the needed institutional autonomy, is still struggling for a redefinition of its mandate.
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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 | 0.005 |
| Science and technology studies | 0.009 | 0.010 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.031 | 0.002 |
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".