Global fashion brands and the construction of ‘Modern Girl’ archetypes in the emerging Chinese market
Bibliographic record
Abstract
Abstract The rapid growth of the Chinese economy since the late 1970s has dramatically changed the dynamics of the marketplace. China’s consumer society has been transformed to a more liberal market system in which a variety of diverse market imageries have been created and circulated to consumers. This article examines how global fashion brands construct different ‘modern girl’ archetypes for consumers in the emerging Chinese market. Through conducting a semiotic analysis of printed advertisements published in four major fashion magazines during a four-year period from the beginning of 2009 to the end of 2012, we identified six ‘modern girl’ archetypes constructed by global fashion brands. Our findings reveal a dialogical relationship between brand-created imageries and prevailing cultural attitudes. We argue that fashion brands strategically create alternative modern girl archetypes as a way to depict a new era marked by the liberation of Chinese women under the influence of global consumer culture.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".