Bibliographic record
Abstract
Unlike in Canada and the United States, where federalism was a technique for uniting states and provinces that had once been autonomous political entities, in Brazil federalism was a technique for dividing what had always been a unitary system of government.'Unlike her neighboring colonies of Latin America, Brazil followed a unique path that led to independence without war, and to the establishment of a constitutional monarchy that lasted for 67 years. 2 Under the Empire, Brazil had a unitary system of government, divided into twenty provinces.The provinces served as election districts for a National Congress with a Senate and a Chamber of Deputies.The provinces elected deputies for four-year terms.The Emperor, however, selected the Senators, who would serve life terms, from a list of three names submitted by each province.Unfortunately, the election process was so manipulated by the central government that the Congress did little to represent the interests of the very limited electorate.The Brazilian provinces were further subdivided into municipalities, 3 with each province and municipality electing its own council.But these councils had no legislative, taxing, or adminis-
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".