Social and Environmental Impacts on Rural Communities Residing Near the Industrial Complex of Sao Luis Island, State of Maranhão, Brazil
Bibliographic record
Abstract
The aim of the present study was to analyze the major social and environmental implications of the presence of the industrial district of the city of São Luís (Brazil) over a span of 30 years. The district was established in the 1980s to receive industrial enterprises of the Grande Carajás Program, which led to the installation of a massive support infrastructure. Industrial activities have contributed substantially to rapid, definitive, irreversible changes to the way of life of the population residing near the district and have gradually altered the spatial organization of the area, with consequent harm to the natural landscape. Both the perceptions of the local population and data obtained using geotechnological tools offer evidence of the main changes having occurred and factors associated with such changes. Mangrove degradation and the loss of both natural and secondary vegetal cover were the most significant changes in the time interval studied. The main factors associated with environmental harm are industrial activities, the mineral extraction of sand and disorganized land occupation.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".