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Record W2807652352 · doi:10.5539/enrr.v8n2p144

Oil Spills in the Arabian Gulf: A Case Study and Environmental Review

2018· article· en· W2807652352 on OpenAlexvenueno aff
Nivine Issa, Sreya Vempatti

Bibliographic record

VenueEnvironment and Natural Resources Research · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicOil Spill Detection and Mitigation
Canadian institutionsnot available
Fundersnot available
KeywordsOil spillGulf warEnvironmental scienceProductivityEnvironmental protectionEnvironmental remediationEnvironmental qualityEnvironmental impact assessmentEnvironmental planningEnvironmental resource managementEcologyContaminationBiology

Abstract

fetched live from OpenAlex

The following article is a review of oil spills in the Arabian Gulf with a focus on the Kuwait Spill during the Gulf War. The article provides some background on the events leading up to the oil spill, as well as the extent and details of the spill. Impacts on air quality, terrestrial ecology, marine ecology, socioeconomic aspects, and public health are analyzed in detail to assess the extent of damage on various environmental and social components. It was found that significant impacts were incurred on the marine and terrestrial environments, with some negative effects still persisting to our present day. Heavy economic impacts were also incurred in the form of infrastructure damage and loss of productivity. The article further provides a review of various natural, mechanical, and chemical means of remediation utilized during the clean-up efforts and provides a relative comparison of these for potential usage on similar events in the future.

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)0.001
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.006
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
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 head0.025
GPT teacher head0.309
Teacher spread0.284 · 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
GenreReview

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

Citations29
Published2018
Admission routes1
Has abstractyes

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