A trajetória empreendedora e o processo de internacionalização do grupo GERDAU
Bibliographic record
Abstract
Within 50 years, Gerdau Group was capable of transforming a nail industry into one of Brazilian’s and Latin America’s biggest industrial conglomerates, being present in 14 countries and exporting for the five continents. It is considered, nowadays, the 13th biggest steel producer in the world, having produced around 20 million ton in 2008, owning many factories abroad. The internationalization process has started in 1980, when the company bought the uruguayan siderurgic Laisa. In the following step, the Group expanded its activities to Canada, Argentina, Chile, United States, Spain and Mexico, among others. The international expansion became significative in 1999, with the aquisition of AmeriSteel, in the United States. Even though the company was already present in Canada (Courtice Steel and Manitoba Rolling Mills, adquired, respectively, in 1989 and 1995), AmeriSteel was the “entrance door” for many other investments in North America; the Group is considered, nowadays, the 2o biggest productor of steel in this region. The purpose of this paper is to analyze the productive and commercial expansion of the company, using the theory of the growth of the firm and, yet, identify – through the existing theories of internationalization of the firm – the profile of international activity of the Group.
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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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.010 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
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".