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Record W4410894880 · doi:10.9734/ajee/2025/v24i6730

A Review of Fracking's Global Footprint: Environmental Consequences and Regulatory Landscapes

2025· review· en· W4410894880 on OpenAlexaboutno aff
C. V. Ahaneku, C.C. Obiamalu, B. I. Odoh, A. O. Njoku, M. C. Azike, P. A. Awonge, C.D. Muogbo, C.E. Ogbuefi

Bibliographic record

VenueAsian Journal of Environment & Ecology · 2025
Typereview
Languageen
FieldEnvironmental Science
TopicAtmospheric and Environmental Gas Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsEcological footprintFootprintEnvironmental planningEnvironmental crisisEnvironmental ethicsPolitical scienceEnvironmental resource managementEnvironmental protectionGeographyEnvironmental scienceSustainable developmentLawArchaeologyPhilosophy

Abstract

fetched live from OpenAlex

Fracking (hydraulic fracturing), an innovative drilling technique used to extract unconventional oil and gas, has raised significant global concerns due to its environmental and social impacts. This review analyses the environmental consequences of fracking, focusing on methane emissions, groundwater contamination, social challenges, and the regulatory frameworks governing these operations. To achieve these objectives, we conducted a comprehensive desk-based literature review to assess the global effects of fracking in different countries and regions. Our findings indicate that: (1) Fracking has not been universally adopted, with only a few countries like the United States, Canada, Argentina, and China practicing it extensively; (2) Several countries, such as France, Germany, and Ireland, have imposed bans or strict regulations due to its negative environmental impacts; (3) Despite its high risks, fracking has yielded significant benefits, such as increased oil and gas production and reduced energy dependence; and (4) Local communities in many regions have protested against fracking due to threats to environmental sustainability, especially groundwater resources. We recommend that fracking operations be limited to areas with minimal or no human habitation to mitigate its effects on public health and environmental quality.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.978
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.007
GPT teacher head0.243
Teacher spread0.236 · 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.

Study designOther design
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

Citations0
Published2025
Admission routes1
Has abstractyes

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