Nostalgia as inspiration for fashion design – Designing the present of future through nostalgia
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
Nostalgia is a recurring theme throughout the creative process of many fashion designers (Mollow, 2004). According to Tilburg, Sedikides & Wildschut (2015), nostalgia can particularly favour and encourage creativity. Thanks to their research on creativity and literature, based on a nostalgic daydream of the present and the future, they have come to the conclusion thatnostalgia can be a very efficient tool to spur on a creative process. But how does nostalgia fuel a creative approach in fashion design? How does the past merge with the present to formulate fashion’s future? This phenomenon will be explored by using nostalgia as a startingpoint for the creative process of three designers, as well as for threeof the author’s creative projects in fashion design: the 3D Tutu, the 3D dress and the mathDress. This research aims to concretely demonstrate how nostalgia can be applied in the conception of a garment collection for fashion design students or professionals, and how to gain a deeper insight on this emotion without losing one’s self in it, or feeling overwhelmed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.000 | 0.000 |
| 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 it