MétaCan
Menu
Back to cohort
Record W4386255889 · doi:10.18280/ijsdp.180823

Modeling Management Decisions for Sustainable Regional Development: Public Relations Strategies and Security Considerations

2023· article· en· W4386255889 on OpenAlexvenueno aff
Vladimir Orlyanskiy, Pavlo Hryhoruk, Marta Danylovych-Kropyvnytska, Olha Yevtushok, Vladyslav Mitsa

Bibliographic record

VenueInternational Journal of Sustainable Development and Planning · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicUniversity-Industry-Government Innovation Models
Canadian institutionsnot available
Fundersnot available
KeywordsSustainable developmentEnvironmental planningBusinessEnvironmental securityEnvironmental resource managementProcess managementManagement scienceEnvironmental economicsPolitical scienceEnvironmental scienceEconomics

Abstract

fetched live from OpenAlex

The main purpose of the article is to study the formation and implementation of management decisions on public relations (PR) strategies for ensuring sustainable development in the context of regional security.This study aims to will be to model the adoption of managerial decisions on PR strategies to ensure sustainable development for the security of a particular region.The object of the study is the system for ensuring the sustainable development of a particular region.As a result, we have obtained a model for making managerial decisions on PR strategies for ensuring sustainable development in the context of regional security.The novel contributions of this study include a direct technique for modeling managerial decisionmaking regarding PR strategies for sustainable development in the context of regional security, as well as a matrix for the step-by-step implementation of these processes and stages.The study is limited by taking into account regional specifics and the lack of modeling extension tools.Prospects for further research should be devoted to the concentration of sustainable development in the context of interregional security planning.

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 categoriesScholarly communication
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 score0.783
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.005
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 head0.054
GPT teacher head0.265
Teacher spread0.211 · 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 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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Sustainable Development and PlanningSame topicUniversity-Industry-Government Innovation ModelsFrench-language works237,207