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ENVIRONMENTAL SUSTAINABILITY IN CROSS-BORDER ENERGY TRADE: THE CASE OF THE KAZAKHSTAN – CHINA PIPELINE

2024· article· en· W4393200858 on OpenAlexaff
B. T. Utelbayev, A. S. Azhigali, A. G. Amangeldin

Bibliographic record

VenueHerald of Kazakh-British technical university · 2024
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy Security and Policy
Canadian institutionsSchlumberger (Canada)
Fundersnot available
KeywordsSustainabilityChinaPipeline (software)Energy (signal processing)International tradeBusinessGeographyComputer science

Abstract

fetched live from OpenAlex

The article delves into the nuanced realm of environmental sustainability in the context of the KazakhstanChina pipeline – a crucial conduit for oil and gas resources spanning borders. Rigorous methodologies, including Geographic Information System (GIS) mapping and community engagement, unveil the environmental challenges intrinsic to cross-border energy projects. From habitat disruption and pollution to the potential for oil spills, the negative impacts demand strategic mitigation. The article advocates for a multifaceted approach, recommending the incorporation of advanced technologies, strategic route planning, and diversified energy sources. Emphasizing community engagement, transparency, and international cooperation, the proposed sustainable practices aim to balance the imperatives of economic growth with ecological preservation. As the world grapples with increasing energy demands, the Kazakhstan-China pipeline stands as a poignant case study, prompting a collective reevaluation of our approach to global energy trade. Through proactive measures and collaborative efforts, it is possible to navigate the delicate equilibrium between energy security and environmental stewardship, fostering a future where sustainable practices underscore the foundation of cross-border energy endeavors.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.894
Threshold uncertainty score0.927

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.003
GPT teacher head0.252
Teacher spread0.248 · 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 designTheoretical or conceptual
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

Citations1
Published2024
Admission routes1
Has abstractyes

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