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Record W4283745172 · doi:10.18280/ijdne.170308

The Role of Intangible Values for Historic Places in Stimulating Tourism Investment (Ur City in Iraq-Case Study)

2022· article· en· W4283745172 on OpenAlexvenueno aff
Safaaaldeen Hussein Ali, Ghusoon Najm Abdulzahra

Bibliographic record

VenueInternational Journal of Design & Nature and Ecodynamics · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicHalal products and consumer behavior
Canadian institutionsnot available
Fundersnot available
KeywordsTourismDynamismGreatnessCivilizationIntangible cultural heritageCultural heritageTourism geographyCultural tourismEconomyEnvironmental ethicsSociologyMarketingAestheticsPolitical scienceBusinessEconomicsArtLaw

Abstract

fetched live from OpenAlex

The world today glorifies the concept of historical places and their importance, as they enjoy a heritage capital of cultural and economic values that lie in their greatness and beauty and the message they carry as an expression of the civilization and culture of society and its role. In attracting a lot of tourists, especially history lovers who have the culture of learning about ancient civilizations, to try to understand the present. Which makes it a major contributor to supporting the economy, this research aims to provide a platform for understanding how to stimulate tourism investment in historical places by highlighting the dynamism of spiritual values imbued with religious or symbolic meaning and adopting a strategy of (Tourism Marketing for Historic Places), as well as upgrading the cultural treasures in those places. The research found the importance of activating the cultural and economic values that stimulate tourism investment by adopting tourism marketing mechanisms (empowerment, flow, compatibility) in historical places.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.575
Threshold uncertainty score0.217

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 studies0.0000.000
Scholarly communication0.0000.000
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 head0.026
GPT teacher head0.321
Teacher spread0.295 · 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 designObservational
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

Citations3
Published2022
Admission routes1
Has abstractyes

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