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Record W6950252959 · doi:10.5281/zenodo.8123292

The Potential Adverse Health Effects of Residents Near Hazardous Municipal Solid Waste Dump Site - At Jawahar Nagar- Hyderabad

2013· article· en· W6950252959 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicMunicipal Solid Waste Management
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDumpingDiarrheaMunicipal corporationHazardous wasteMunicipal solid wastePublic healthTyphoid fever

Abstract

fetched live from OpenAlex

In this research paper the Survey has been conducted among 45 residents around the main dumping site of the municipal corporation viz Jawahar Nagar. In this survey it was found that 55% of the people are suffering with respiratory and 45% answered that they not suffering from the respiratory diseases. Twenty five percent of the People suffering from Cough, twenty percent with Bronchitis, twenty percent with Asthma, fifteen percent with Sneezing, ten percent with Suffocation and the rest of the people suffering with other diseases. All the sample householders had different kinds of eye diseases. It was noted that 20% of households had reddening of eye, 65% of households had tearing of eye, 5% of the householders suffered from difficulty in vision and 10% of households were affected by conjunctivitis. The high occurrence of eye diseases in the area might be due to recurrence of fire and gas emissions from the dumping site. During the survey, it was observed that the people around the dump site was suffering from various water borne diseases such as Cholera, Dysentry, Typhoid, Jaundice, Diarrhea etc. Nearly 25% of the people suffering from cholera, 25% from Diarrhea, 20% from Jaundice, 15% from typhoid, 10% from Dysentry etc. It was found that 25% had Cholera, 20% had Jaundice; 25% had Diarrhea; 10% had Dysentery; 15% had Typhoid and 5% had other Diseases

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.123
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.001
Scholarly communication0.0000.000
Open science0.0010.005
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0150.027

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 head0.011
GPT teacher head0.226
Teacher spread0.215 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations0
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)Same topicMunicipal Solid Waste ManagementFrench-language works237,207