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Record W3196296927 · doi:10.33002/jelp01.02.02

LEGAL SUPPORT TO THE PROTECTION OF LAND AND SOIL IN LIGHT OF NEW REGULATIONS OF UKRAINE

2021· article· en· W3196296927 on OpenAlexvenueno aff
S.V. Khominets

Bibliographic record

VenueJournal of Environmental Law & Policy · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicLand Use and Management
Canadian institutionsnot available
FundersDepartment for International DevelopmentInternational Fine Particle Research InstituteUnited Nations Development Programme
KeywordsEnvironmental planningLand useSustainable developmentLand degradationSoil fertilitySoil qualitySoil retrogression and degradationEnvironmental protectionEnvironmental resource managementBusinessPolitical scienceGeographyEnvironmental scienceEcologyLawSoil scienceBiologySoil water

Abstract

fetched live from OpenAlex

In this article, regulations on land and soil protection are studied in a chronological sequence and in the historical and legal contexts. The main factors responsible for the deterioration of the quality of land resources and the soil environment are identified. The modern regulatory framework providing legal support to land and soil protection is analyzed. Among the current problems is the improper land-use triggered by inadequate legal regulation concerning pollution, depletion, degradation, and reduced fertility of soil. Appropriate legal protection to the ecological functions of the soil is absent. Further legal framework addressing rational use and protection of land resources (including soil) in Ukraine should be developed integrating environmental interests of society and ecological tenets of sustainable development.

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)0.002
metaresearch head score (Gemma)0.004
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: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.004
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.002
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 head0.012
GPT teacher head0.268
Teacher spread0.255 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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