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Record W4393318164 · doi:10.18280/ijsdp.190323

Planning for Sustainable Development: A Case Study of the Legal Factors in the Public Administration System

2024· article· en· W4393318164 on OpenAlexvenueno aff
Maher Ali Moh’d Amoush, Iryna Khomyshyn, Ivan Dragan, Viktoriya Filippova, Hryhoriі Bukanov

Bibliographic record

VenueInternational Journal of Sustainable Development and Planning · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental law and policy
Canadian institutionsnot available
Fundersnot available
KeywordsSustainable developmentAdministration (probate law)Environmental planningBusinessPublic participationPublic administrationProcess managementEnvironmental resource managementPolitical scienceLawGeographyEnvironmental science

Abstract

fetched live from OpenAlex

The main purpose of the article is to improve the sustainable development planning system in the region.For this purpose, Poland and its features of sustainable development were chosen as the object of study.It should be noted that the scientific task was to improve the efficiency of the public administration system in the region, which will enhance the process of sustainable development planning itself.To do this, it is necessary to highlight the most problematic legal negative factors.To this end, the research methodology involves the use of graph theory through hierarchical analysis and SWOT analysis.As a result of the study, the SWOT matrix itself was presented and a list of the most significant negative factors influencing sustainable development planning was identified.The calculations carried out demonstrated the most significant negative factors and their ordering made it possible to present a counteraction plan in accordance with priority.The study is limited by considering only legal factors.Further research should be devoted to taking into account socio-economic factors too.

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)0.002
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.169
Threshold uncertainty score0.446

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.031
GPT teacher head0.324
Teacher spread0.293 · 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 designQualitative
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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