A FALTA DE REPRESENTACAO DE INDIGENAS NO CONGRESSO NACIONAL
Bibliographic record
Abstract
O artigo trata da falta de representacao de indigenas no Congresso Nacional, abordando a necessidade de suscitar a discussao e ao mesmo tempo dando enfase a autonomia politica dos povos originarios por meio de suas organizacoes politicas. Traz exemplos do reconhecimento de autonomia dos povos indigenas que estao presentes em paises como Canada e Nova Zelandia, bem como um breve relato sobre os paises da America Latina que adotam uma Constituicao Plurietnica. Demostra que a participacao politica e uma demanda do Movimento Indigena, algo que surge da necessidade de protecao diante das ameacas da retirada de direitos. Ressalta a importancia de discussao sobre representatividade indigena e a necessidade de implantacao de uma democracia plena e satisfatoria que inclua diversidade cultural e politica presente no Brasil.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.022 |
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".