Assessment of the Socio-Economic and Health Impact of Quarrying on the Inhabitants of Kenta Logemo Village in Odeda Local Government Area, Ogun State, Nigeria
Bibliographic record
Abstract
Quarry is a small scale industry generating materials used for construction, thus contributing to the Gross Domestic Product (GDP) of the country. This study was carried out to evaluate the socio-economic and health impact of quarry on the inhabitants of Kenta Logemo Village in Odeda Local Government Area, Ogun State. The sampling was carried out in three different distances (100, 200, 300 m) around the quarry site and 1000 m (control). The air quality monitored are (gaseous component) CO2 NO2, CO, volcanic organic compound (VOC) and particulate matters (PM) and noise level. Thirty copies of questionnaire were administered to the workers and inhabitants. The result showed that the gaseous pollutants were more pronounced at 100 m and there were no significant differences (p > 0.05) among the distances and they were below Federal Ministry of Environment (FmEnv) limit. The PM10 at 200 m (137.1 ug/m3 ) was highest among three types of particulate matters and distances monitored. There were no significant differences (p > 0.05) across distances from the quarry. Noise level ranges from 59.3 to 86.3 dB(A) and higher than the control (50. 8 dB(A) but below FmEnv limit (90 dB(A). The analysis of the questionnaire revealed that the vegetation (40.0 %) and animal (46.7 %) were into extinction and threatened and dust (30.0 %) covered food or cash crops. Water bodies were affected by taste, colour and turbidity (63.3 %). Among the diseases suffered were catarrh (53.3 %) and eye irritation (46.7 %). In conclusion, the surrounding of the quarry is not polluted with CO2 NO2, CO, VOC, PM and noise but there is significant effect of the activity of quarry on the health and socio-economic of the inhabitants hence, improved the economic status.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 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".