Fashion sensitive young consumers and fashion garment repair: Emotional connections to garments as a sustainability strategy
Bibliographic record
Abstract
Abstract Where clothing consumption has continued to rise around the world, a deeper understanding of how and why garments are disposed of is critical in regard to addressing the issue of textile waste by consumers. The purpose of this study was to explore the garment management processes of young, fashion sensitive consumers, examining their disposal behaviours as well as motivations towards garment end‐of‐life extension through maintenance or repair of damaged fashion clothing. A survey of 161 South Korean young consumers (18–34 years) was conducted, utilizing a fashion sensitivity scale to measure impact on unsustainable garment disposal practices and garment repair behaviour. Further, general recycling behaviour of these individuals was examined, as linked to garment repair propensity. Results indicate that fashion sensitive consumers dispose of garments more rapidly, and with less ethical consideration. However, these same consumers are motivated to repair items that support their fashion identity. The study contributes some useful insight into encouraging garment life extension practise among heavy consumers of fashion, thus extending what is known about fashion garment disposal in the sustainability context.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| 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 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".