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Record W3200305723 · doi:10.18280/ijsdp.150809

The Formation of Land Conservation Principles as the Framework for the Implementation of the Concept of Sustainable Development of Society

2020· article· en· W3200305723 on OpenAlexvenueno aff
M. Abaikyzy, Lazzat Yerkіnbayeva, Kulyash N. Aidarkhanova, Gulnar T. Aigarinova, Nurzhan S. Baimbetov

Bibliographic record

VenueInternational Journal of Sustainable Development and Planning · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Sustainability and Technology
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationLegislatureSustainable developmentContext (archaeology)Environmental planningBusinessEnvironmental resource managementEnvironmental protectionPolitical scienceEconomicsLawGeography

Abstract

fetched live from OpenAlex

The development of land legislation in the context of globalisation, the desire of countries to more widely implement global and European standards of environmental policies, as well as the interest in the experience of legislative solutions to problems connected with the design and development of legal institutions in environmental protection in foreign countries, determine the relevance of this study. The purpose of the paper is to identify the main problems of land protection legislation and form on their basis the effective system of environmental regulation, combining administrative and legislative instruments with economic, regulatory and market mechanisms. Analysis of international legal acts is used as the leading research method. Considered the positive experience of legal regulation of the land issue of such democratic states as the USA, Great Britain, and Germany and other developed countries. The authors propose to introduce the Concept for the Protection of Lands from Pollution by Hazardous Substances, as well as the development and adoption of regional and national programs in which a separate section should address issues of land protection from pollution by hazardous substances. The practical significance of the study is determined by the need to integrate the land legislation industry into national environmental legislation.

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)0.014
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0040.046
Scholarly communication0.0090.006
Open science0.0020.005
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0030.001

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 head0.016
GPT teacher head0.267
Teacher spread0.250 · 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 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

Citations3
Published2020
Admission routes1
Has abstractyes

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