A cidade de Marabá sob o impacto dos projetos governamentais a partir de 1970
Bibliographic record
Abstract
With newfound prospects brought on by the discovery of iron ore in the Serra dos Carajás (Carajás Range), in the south of the State of Pará, the Brazilian Fedral Government undertook a series of interventions in the city of Marabá, starting in 1970.Once the location of the city was deemed inadequate, as it was vulnerable to flooding from the Tocantins and Itacaiúnas Rivers, plans were made to move it to another site, now known as Nova Marabá.The population of the old city did not take to this idea, sinde they had already learned to live with the floods that affected them almost every year.The persistence of the pioneer Marabá and its inhabitants, who still lead the life of typical river dwelling populations throughout the Amazon region, also reveals the failure of a governmental planning policy out of touch with local reality and the accommodation reached by the inhabitants with a problem that ends up generating exorbitant costs for the State every year, the result of damage caused by the flooding.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".