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Record W2128077616 · doi:10.5539/enrr.v3n2p111

Air Quality Assessment in the Vicinity of Quarry Site

2013· article· en· W2128077616 on OpenAlexvenueno aff
Babatunde Saheed Bada, Kofoworaola Amudat Olatunde, Oluwafunmilayo Abidemi Akande

Bibliographic record

VenueEnvironment and Natural Resources Research · 2013
Typearticle
Languageen
FieldHealth Professions
TopicRadioactivity and Radon Measurements
Canadian institutionsnot available
Fundersnot available
KeywordsPollutantParticulatesOzoneEnvironmental chemistryNitrogen dioxideEnvironmental scienceAir pollutantsCarbon dioxideAir pollutionAir quality indexSulfur dioxideChemistryMeteorologyGeography

Abstract

fetched live from OpenAlex

This study investigated air pollutants associated with quarry activities and the variation of the pollutants with distance from the drilling section. Air pollutants were monitored with the use of automatic air samplers with the exception of ozone (O3) which was determined by iodometric method. All sampling were replicated three times. The data obtained were subjected to descriptive statistics, analysis of variance and correlation. Means were separated using Duncan Multiple Range test. Carbon monoxide and carbon dioxide were detected while sulphur dioxide, nitrogen oxide and O3 were below detection limit. Suspended particulates were the most significant of the air pollutants analyzed. Crushing section had the highest concentrations of PM10 and PM2.5 with 0.231 ± 0.018 mg/m3 and 0.130 ± 0.010 mg/m3 respectively followed by the drilling section with 0.074 ± 0.066 mg/m3 for PM10 and 0.065 ± 0.045 mg/m3 for PM2.5. The mean levels of the total suspended particulate decreased significantly (p < 0.05) with distance from the crushing section to Jagun village.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.179
GPT teacher head0.483
Teacher spread0.304 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations25
Published2013
Admission routes1
Has abstractyes

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