Le « Sertão » du « Nordeste » (Brésil). Essai de définition d’un « pays ».
Bibliographic record
Abstract
Despite the fact that Brazil is a young and vast country, some of its regions have already acquired a personality of their own. The Sertâo in the Northeast is such a case. Of triangular shape, the Sertâo opens in the North, towards the Atlantic ocean ; it covers 10% of the total area of Brazil and include more than 90% of the states of Rio Grande do Norte, Ceara and Paraiba. It is a semi arid region with a dry climate, chiefly responsible for an original type of vegetation : the caatinga. The fundamental features of the relief are horizontal with depressions and inselbergs. The rare good soils are deteriorated and the hydrographic network is fair. Such a severe country is inhabitated by 7 millions persons of mixed ethnic origins. The dominant occupational types, are the vaqueiro, the garimpeiro, the truck driver , and, during the dry season, the flagellado. It is an « under-developped » country economically , with low standards of living, and a production based on food and cattle. If the Sertao is unsafe foreigners, it remains for the natives, a mystical and attractive country that may become more prosperous with the hydro-electric development of the Sao Francisco River.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".