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Spatial and Behavioral Analysis of Resort Locations: A Case Study in Qatar

2011· article· en· W2545286132 on OpenAlexvenueno aff
Yaser Najjar

Bibliographic record

VenueArab world geographer · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsnot available
Fundersnot available
KeywordsEcotourismTourismGeographyPerspective (graphical)Environmental planningNatural (archaeology)PerceptionSustainable developmentEnvironmental resource managementNatural resourceBusinessRegional scienceMarketingPolitical sciencePsychologyComputer scienceEnvironmental science

Abstract

fetched live from OpenAlex

Strategies for tourism planning gain a new perspective that uses spatial and behavioural parameters in analyzing and selecting suitable locations for resort development. This perspective uses natural resources and potentials and focuses on sustainable ecotourism development. The main objective of the present research is to evaluate the parameters used in locating existing tourism resort sites in the state of Qatar and to enhance these parameters for future site elections and tourism regulations that take into consideration the demands of natural and cultural ecotourism. Satellite images and physiographic maps of Qatar were collected and analyzed. Data on tourists’ perceptions and preferences with respect to selected tourism sites were collected by means of questionnaire interviews. The findings demonstrate the importance of tourists’ concerns in the planning process for tourism sites and show a low level of awareness of and interest in ecotourism among residents as well as among local and regional tourist...

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.213
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
Bibliometrics0.0010.003
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 head0.067
GPT teacher head0.370
Teacher spread0.302 · 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 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

Citations0
Published2011
Admission routes1
Has abstractyes

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