Accessibilité et applicabilité des pratiques durables pour les designers de produits de textile de la région de Montréal dans une conjoncture de société de consommation
Bibliographic record
Abstract
The textile industry is currently facing significant socio-environmental challenges. This research-creation aims to identify the sustainable practices available and their applicability for the designers from the Montreal area who specialize in clothing and home living. \n \nAs the designers, Kate Fletcher and Lynda Grose (2102) mention, I believe that we, the designers, have the privilege to communicate to educate and to intervene actively in promoting sustainable textile consumption practices. \n \nThe complexity behind the textile industry was studied through three approaches: a study on 25 fibres was conducted, to better understand the textile as a material; professionals from the fashion and accessories design industry were met in their workplaces, to grasp the contexts of their creative process; a workshop series was held in a university setting to share the information, gathered during the interviews, with future professional artists and designers. From our discussion and by utilizing textile waste, the participants created projects showing the socio-environmental impacts of our textile consumption and reflecting on responsible alternatives. \n \nBased on the historical references to the evolution of the human–object relationship, the textile fibre development, and the designer context in the Montreal area, this thesis suggests an approach based on mindfulness. The results of the research supporting this three-part project demonstrate that the application of sustainable practices still requires a lot of individual responsibilities from textile product designers. Our society based on economic growth works against the collaboration and accountability needed for the changes required by human beings in order to reharmonize with Earth.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".