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Record W3003456049 · doi:10.5539/ass.v16n2p11

Research on Chinese Influence on Western Fashion Based on Fashion Magazine from 1970 to 1979

2020· article· en· W3003456049 on OpenAlexvenueno aff
Yuru Ma, Xiangyang Bian

Bibliographic record

VenueAsian Social Science · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicFashion and Cultural Textiles
Canadian institutionsnot available
FundersFundamental Research Funds for the Central Universities
KeywordsClothingPopularityAdvertisingNormalization (sociology)Fashion designBusinessHistoryPsychologySociologySocial scienceSocial psychology

Abstract

fetched live from OpenAlex

The decade of 1970s was a peak of Chinese influence on Western fashion. This article was intended to reveal the categories and design characteristics of Chinese-influenced clothing with classified statistical method based on collecting a total of 295 sets of designs presented during 1970-1979 from four fashion magazines. The underlying reasons for the popularity of Chinese-influenced clothing on western fashion were also analyzed and summarized. The research results showed that the Chinese-influenced clothing included three categories: outdoor daily clothes, indoor home wears and evening dresses, presenting neutral, romantic and luxury respectively. The popularity of Chinese-influenced clothing was mainly a result of some national and international factors, including anti-fashion aesthetics in the western society, the normalization of Sino-American relation and the development of Hong Kong trade.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.074
GPT teacher head0.340
Teacher spread0.266 · 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

Citations3
Published2020
Admission routes1
Has abstractyes

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