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Record W7014436530

Pengaruh Tangibel-Sensorial Experience, Staff Relational/Interactional Experience, Aesthetic Perception dan Location pada Customer Satisfaction Budget Hotel di Indonesia

2019· other· id· W7014436530 on OpenAlexaff

Bibliographic record

VenueUbaya Repository (University of Surabaya) · 2019
Typeother
Languageid
Field
Topic
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsNucleofectionGestational periodHyporeflexiaTSG101DysgeusiaFusible alloyDemotionArticular cartilage damage
DOInot available

Abstract

fetched live from OpenAlex

tangible-sensorial experience, staff relational/interactional experience, aesthetic perception dan location terhadap customer satisfaction dengan objek budget hotel di Indonesia. Jenis Penelitian yang digunakan adalah basic research yang menggunakan 4 variabel yaitu tangible-sensorial experience, staff relational/interactional experience, aesthetic perception dan location. \nSumber data yang digunakan adalah data premier yaitu dengan menyebarkan kuisioner. Sampel yang digunakan dalam penelitian ini sebanyak 105 kuisioner yang disebarkan di Surabaya. Teknik pengambilan sampel yang digunakan non-probability sampling dan data akan diolah dengan mengunakan bantuan SPSS 2013 For windows. \nHasil penelitian yang diperoleh menunjukan terdapat pengaruh yang signifikan antara tangible-sensorial experience, staff relational/interactional experience, aesthetic perception dan location terhadap customer satisfaction. \n

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.058
Threshold uncertainty score0.196

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0580.005

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 head0.012
GPT teacher head0.217
Teacher spread0.206 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2019
Admission routes1
Has abstractyes

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