Prioritising sustainable garment choice among high-volume fashion consumers
Bibliographic record
Abstract
Purpose The purpose of this paper is addressing the negative environment and social impacts of the fashion industry that has emerged as a major societal challenge in the last century; however, people continue to over-consume and over-waste textile products in the form of fashion garments. More research is required to understand how fashion consumption connects with perceptions of sustainability and sustainable action by individual consumers. Design/methodology/approach This paper surveys 501 Australian and New Zealand consumers, on their fashion purchasing habits, and the role of sustainability in their fashion consumption behaviour. Findings The study found a relationship between higher levels of garment consumption and increased focus on sustainability in fashion choices. This finding is significant, as it suggests that fashion over-consumers are still mindful of the sustainable impacts of their consumption, and are motivated towards reducing that impact, despite not reducing their volume of consumption. Originality/value The study indicates the importance of a continued focus on transparency and traceability of fashion products in Australasia, as some over-consumers use this information to make better choices in the purchase situation, as opposed to acting on a general call to reduce consumption.
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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 | 0.003 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".