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Record W2945143801 · doi:10.20961/region.v13i1.16260

Komponen Keterpaduan Objek Wisata di Kawasan City Walk Slamet Riyadi Ditinjau dari Sistem Pariwisata

2018· article· en· W2945143801 on OpenAlexaff
Hafiza Jasmine Azzahra, Winny Astuti, Erma Fitria Rini

Bibliographic record

VenueRegion Jurnal Pembangunan Wilayah dan Perencanaan Partisipatif · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicCommunity-based Tourism Development and Sustainability
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsTourismBusinessAdvertisingGeographyMarketing

Abstract

fetched live from OpenAlex

<p><em>Tourism today is an activity that almost everyone in the world does. Each city tries to develop their tourism potential. One concept that can be carried out is city walk tourism. Surakarta city declares itself as a tourism city. In 2007, the Surakarta Municipality revitalized Slamet Riyadi city walk area, which along the road, there are some old buildings and tourist objects that can be visited. The tourism system is a complex thing that consists of several components that are interconnected. The function of the tourism system can be divided into two, from demand side and supply side, which has its own components. With the construction along Slamet Riyadi city walk, which passes several tourist objects, this momentum can be utilized to improve the tourism sector in Surakarta. In order to run optimally, it is necessary to see what the components of tourism system that required are. </em><em>The method used in this research is literature review and crossing variables. These methods were used to find out what variables are important in the tourism system at Slamet Riyadi city walk. Of these two methods the output will be the integrated tourism components that influenced in</em><em> tourist attraction at Slamet Riyadi city walk.</em></p>

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.400
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0040.003
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0000.001
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 head0.048
GPT teacher head0.317
Teacher spread0.269 · 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

Citations2
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueRegion Jurnal Pembangunan Wilayah dan Perencanaan PartisipatifSame topicCommunity-based Tourism Development and SustainabilityFrench-language works237,207