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2018· article· id· W2941124169 on OpenAlex
Ida Ayu Diksita Kinasih, I Made Jatra

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueE-Jurnal Manajemen Universitas Udayana · 2018
Typearticle
Languageid
FieldEconomics, Econometrics and Finance
TopicImpulse Buying and Technology Impacts
Canadian institutionsDiscovery Centre
Fundersnot available
KeywordsSobel testImpulse (physics)Path analysis (statistics)PsychologyNonprobability samplingConsumption (sociology)MediationNegative emotionSocial psychologyAdvertisingSample (material)StatisticsBusinessMathematicsAestheticsDemographySociologyArt

Abstract

fetched live from OpenAlex

The purpose of this study was to examine the effect of fashion involvement and hedonic consumption tendency on positive emotions, the influence of fashion involvement, hedonic consumption tendency and positive emotion on impulse buying, and the role of positive emotions mediate the influence of fashion involvement and hedonic consumption tendency toward impulse buying on fashion products Discovery Shopping Mall Kuta. The method used to determine the sample is non-probability in the form of purposive sampling with sample size of 105 respondents. Data collection was done by distributing questionnaires directly to customers of fashion products Discovery Shopping Mall Kuta. The analysis technique used is path analysis and sobel test. There is a positive and significant relationship between fashion involvement and hedonic consumption tendency toward positive emotion, positive and significant relationship between fashion involvement, hedonic consumption tendency and positive emotion toward impulse buying. Positive emotions can act as significant mediation variables between the influence of fashion involvement and hedonic consumption tendency toward impulse buying.

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.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.520
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.003
Science and technology studies0.0030.002
Scholarly communication0.0010.002
Open science0.0030.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.004

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 head0.023
GPT teacher head0.209
Teacher spread0.185 · 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