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Record W3110349160 · doi:10.18510/ijsrtm.2020.841

IMPACTS OF THE PARTIAL RELOCATION OF HAZARIBAGH TANNERIES ON THE ENVIRONMENT AND HUMAN HEALTH: FOCUS ON CHILDREN AND VULNERABLE POPULATION

2020· article· en· W3110349160 on OpenAlexaff
Shama E. Haque, Nazmun Nahar, Sadia Chowdhury, Ali S. Sakib, Ahsan Saif, Samiha Hasan, А. Ш. С. Гомес, Sadia T. Nezum

Bibliographic record

VenueInternational Journal of Students Research in Technology & Management · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicChromium effects and bioremediation
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsRelocationPopulationFocus groupEnvironmental healthPublic healthSocioeconomicsEnvironmental planningMedicineGeographySociologyBusinessNursingComputer scienceMarketing

Abstract

fetched live from OpenAlex

Purpose of the study: The purpose of the study is to determine whether the partial relocation of Hazaribagh tanneries has any effect on the area’s soil quality with respect to chromium and to determine a possible link between human exposure/diseases to chromium, with the focus being placed on children and vulnerable population. Methodology: Geochemical sampling and public health research related to fieldwork (Focus Group Discussions, two In-Depth Interview, and Key Informant Interview). Main Findings: The study indicates that there is a significant presence of chromium in the area’s soil two years following the partial relocation of Hazaribagh tanneries. Flu-like symptoms, generalized skin rash, and fertility issues are common in the vulnerable population. The residents are ignorant, belong to the marginalized section of the society, and do not fully comprehend of the impact of environmental exposure to chromium. Applications of this study: The geochemical data may be used to identify in situ treatment technologies for remediation of the area’s soil. The public health data will allow health policymakers to generate ideas and implement solutions to one of the greatest health challenges faced by the impacted population. Novelty/Originality of this study: The study is multidisciplinary by nature and employs science and technology to systematically develop an insight into the environmental contamination resulting from the release of untreated effluent and solid waste containing chromium.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.144

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.343
Teacher spread0.320 · 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 teacher head, 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

Citations8
Published2020
Admission routes1
Has abstractyes

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Same venueInternational Journal of Students Research in Technology & ManagementSame topicChromium effects and bioremediationFrench-language works237,207