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Record W592199965

Evolutions and Trends in the International Tourism

2012· article· en· W592199965 on OpenAlexaboutno aff
Nicolae Neacsu, Monica Nicoleta Neacsu

Bibliographic record

VenueKnowledge Horizons - Economics · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsnot available
Fundersnot available
KeywordsTourismChinaPromotion (chess)Competition (biology)EconomyWorld economyTerrorismInternational tradeRussian federationDevelopment economicsGeographyPolitical scienceEconomicsEconomic policyPolitics
DOInot available

Abstract

fetched live from OpenAlex

The domestic and international world tourism is at present and in the future – as the WTO experts consider- one of the most important world economy industry – one of the economic and social development engines in many countries of the world. In its evolution, between 1970 over 2010, the basic indicators to measure the international tourism (arrivals and incomes) had an ascending evolution, though at some stages the growing rhythms slowed down, as a result of negative factors such as terrorism, floods. Earthquakes, military conflicts, financial and economic crises etc. Meanwhile, a lot of evident changes took place in terms of the regions share in the total income and arrivals (according to the WTO delimitations), with growth in the Asian and the Pacific areas, the Middle East and with decreases in Europe, the North and South America. Apart from considering our country in the general world trends and direction, which is a must, we have to strengthen the promotion efforts (to conquer more in the competition on the markets in Germany, Swede, Japan, China, Great Britain, Canada, the Russian Federation, Italy etc, the “10 top countries”, with a view to tourism foreign expenditures outside frontiers).

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.793
Threshold uncertainty score0.524

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.046
GPT teacher head0.343
Teacher spread0.297 · 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 designNot applicable
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

Citations0
Published2012
Admission routes1
Has abstractyes

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