Intensidade tecnológica das exportações mundiais: uma análise de misturas finitas e do "learning-by-exporting"como determinante
Bibliographic record
Abstract
As características e os determinantes das exportações de bens de alta tecnologia para 123 países, durante o período 1986-2004, são estudados neste texto. Em primeiro lugar, com base na metodologia de misturas finitas, discute-se a existência de clubes de exportadores de alta tecnologia no mundo. São identificados três grupos, exibindo pouca transição de componentes ao longo do tempo, o que demonstra a cumulatividade e a irreversibilidade do comércio tecnológico. Em segundo lugar, valendo-se do modelo de painel, são analisados os determinantes desse tipo de exportação, considerando, entre outras, a importância do learning-by-exporting e do capital humano.
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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) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.008 |
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".