O papel dos Pontos de Troca de Tráfego em políticas e regulação da banda larga
Bibliographic record
Abstract
Novos investimentos em infraestrutura de redes de transporte (backbones) para a internet e a necessidade de trocar tráfego com backbones existentes, tanto na modalidade de trânsito como na de peering, indicam a crescente relevância de um elemento-chave nessa arquitetura – o Ponto de Troca de Tráfego (PTT). Há muito poucos PTT disponíveis hoje em dia, principalmente se considerado o vertiginoso crescimento no número de sistemas autônomos anunciados. Os PTT implantados por redes de pesquisa demonstram que um acréscimo expressivo no número desses pontos teria o efeito de melhorar a topologia da internet, aumentar a conectividade, reduzir a latência e o custo de troca de tráfego. Adicionalmente, os PTT podem ser o local mais eficiente para a oferta de determinados serviços. Este trabalho aborda as possibilidades de ação regulatória para estimular a implementação dos PTT e para assegurar que seus benefícios sejam amplamente compartilhados.
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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 | 0.010 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".