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Record W1522257078

An Analysis of Consumer Behavior of College Students Born in the 1990s in China

2014· article· en· W1522257078 on OpenAlexvenueno aff
Houcun Liu

Bibliographic record

VenueCanadian social science · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsnot available
Fundersnot available
KeywordsChinaConsumption (sociology)College educationConsumer behaviourPsychologyValue (mathematics)Family incomeMarketingConsumer educationSociologyAdvertisingSocial psychologyBusinessEconomicsEconomic growthDemographic economicsPolitical scienceSocial scienceLawMathematics
DOInot available

Abstract

fetched live from OpenAlex

As main consumers and trend setters in the future of China, college students born in the 1990s have gradually stepped onto the historical stage. The consumer behavior of these college students reflects the Chinese young generation’s consumer concepts and value orientation to some extent. Through the analysis of this paper, we conclude that the consumer behavior of these college students has some features: their consumer behavior is deeply influenced by the older generation in their families and parents and children’s consumer concepts influence each other; the difference between urban and rural areas leads to the obvious difference in these college students’ consumption; these college students have obvious dependence on their income sources for consumption and many students are not rational consumers. We try to analyze these features from aspects of society, family education and college education. In the end of this paper, we give some suggestions to guide these college students for their consumption.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.324
Threshold uncertainty score0.783

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.012
GPT teacher head0.275
Teacher spread0.262 · 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
Published2014
Admission routes1
Has abstractyes

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