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Record W3046037955

RESEARCHES ON THE ECO-BIO-GEO ECONOMIC POTENTIAL OF AGROTOURISM IN THE WEST OF ROMANIA

2018· article· en· W3046037955 on OpenAlexaff
Gheorghe Pribeanu, Marius Boiţă, Ionela Mihaela Milutin, Luminiţa Păiuşan, Adina Maria Moțica

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Trade and Competitiveness
Canadian institutionsWestern University
Fundersnot available
KeywordsTourismRural tourismAdaptabilityBusinessOriginalityRecreationConsumption (sociology)Quality (philosophy)Natural resourceRural areaMarketingProductivityGeographyTourism geographyEconomic growthEnvironmental resource managementEconomicsPolitical science
DOInot available

Abstract

fetched live from OpenAlex

The study focused on identifying traditional bio-resources and developing a strategy to promote and implement the regional eco-bio-geo-economic concept, to identify and evaluate the potential of bio-resources and bio-productivity, to develop agrotourism, to establish modern capital indicators, territorial development and development of eco-bio tourism packages in the West of Romania. Agrotourism has some features that distinguish it from traditional, standard tourism, namely: tourism consumption is taking place in the countryside (the essentials are: the quality of rural tourism or agrotouristic pension and the customization and adaptability of farm reception services, knowledge of the natural environment, human and cultural, as well as the originality of tourism products); the touristic offer is genuine, original, diverse and personalized, organized and run by farmers (by village people with characteristic dimension for the represented ethnicity).

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 categoriesInsufficient payload (model declined to judge)
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 score0.947
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.027
GPT teacher head0.239
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

Citations0
Published2018
Admission routes1
Has abstractyes

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