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Record W3200112485 · doi:10.32837/app.v57i0.65

НОРМАТИВНО-ПРАВОВИЙ ВИМІР РОЗВИТКУ ТУРИСТИЧНОЇ ІНДУСТРІЇ В УКРАЇНІ

2016· article· uk· W3200112485 on OpenAlexaboutno aff
Х. Й. Роглєв

Bibliographic record

VenueАктуальні проблеми політики · 2016
Typearticle
Languageuk
FieldEnvironmental Science
TopicDiverse Scientific Research in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsTourismLegislaturePolitical sciencePopulationWelfareState (computer science)PerfectionLegislationBusinessEconomyLawSociologyEconomics

Abstract

fetched live from OpenAlex

The article is devoted research of objective and subjective factors which induce Ukraine to perfection normatively legal adjusting of tourist activity, a ponder able role is played and internal that it is no less important, -social. Attention at conference, which took place in 1988 year in Vancouver «Tourism as influential force of peacekeeping, applies in the article». On the indicated measure appeals sounded to distribution and propaganda of tourism as to the guarantee of the world and safety. In the article marked, that perspective development of tourism in Ukraine also substantially will influence on employment of population and as a result - on the level of his welfare. Tourism - one of effective factors of forming of tolerant unconflict environment in the state. In the article questions are affected about creation of favorable legislative atmosphere for activity of such companies in Ukraine which needs the proper changes in the Economic and Tax codes, Laws of Ukraine «On economic societies», «About licensing of types of economic activity» and other.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.016
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0160.006

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 head0.020
GPT teacher head0.252
Teacher spread0.232 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2016
Admission routes1
Has abstractyes

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