Environmental Quality And It’s Impact On Human Health -A Geographical Study Of Siliguri , W.B, India.
Bibliographic record
Abstract
The surroundings or conditions in which a person, animal, or plant lives or operates. The quality of environment should be maintained as it is very essential for all life forms in the earth. Humans have the responsibility to maintain it and preserve it. Pollution means the major change of the earth’s environment with hazardous or from hazardous materials that can contaminate air, water and entire environment and can cause permanent change to the human health, other animals, plants, living and non-living entity, quality of life and to ecosystem. The pollution in Siliguri is creating different health problems. The air and water pollution are said to be responsible mostly in integrating with human health and ecosystem. In Siliguri 60% of air pollution is contribution of automobile sector according to West Bengal Pollution Control Board. The automobiles contributes significantly large amount of particulate matter to the air in Siliguri City. Noise pollution from highway, airports, industries, vehicles can lead to hearing problem. Garbage waste is also one of the major problem in Siliguri city having improper waste disposal management. Heavy deforestation in various areas creating stress on human as well as climatic factors and creating environmental degradation. Proper management is required to opt for sustainable development
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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 | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".