A Triple Bottom Line Analysis of Sustainability Trends in the Luxury Fashion Industry: A Topic Modeling Approach
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
<p>Sustainability currently is a hot topic in the luxury fashion industry. While customers ponder the feasibility of combining sustainability and luxury fashion, many practitioners have already incorporated sustainability as part of their corporate social responsibility initiatives. This thesis analyzed 32 years of digital newspaper articles on Women’s Wear Daily (WWD) to explore sustainability trends based on the Triple Bottom Line (TBL) framework through topic modeling and content analysis. The results empirically support the increased awareness and importance of sustainability in the luxury fashion sector over time, provide theoretical implications for applying the TBL framework to the longitudinal dataset, and offer insights to business practitioners on expanding their sustainability efforts in the luxury fashion industry. </p>
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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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.007 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 it