Bibliographic record
Abstract
<JATS1:p>As the practice of fashion curation extends into commercial galleries, public and retail spaces, and even to the individual self, professional concepts of “curating” are undergoing rapid change. Today, everyone is seemingly able to “curate”, but where does this leave the traditional understanding of curation as clothing collected and displayed in a museum? This thought-provoking volume explores the practice of fashion curating in the 21st century, bridging the gap between methods of display and notions of “the curatorial” in fashion exhibitions, commercial settings, and the virtual world.</JATS1:p> <JATS1:p>From fashion’s earliest forays into the museum to creative collaborations between luxury fashion brands and artists, this book challenges understandings of fashion curation by drawing on the palpably new spaces, places, and actors in today’s curating scene. Exploring poetic and performative museum displays in venues such as the V&A, Somerset House, MoMu, and the Royal Ontario Museum, alongside the ways that brands such as Dior, Chanel, and Louis Vuitton have made use of “the curatorial” in their own commercial strategies, Fashion Curating asks pressing questions about controversial funding and collaboration from the commercial fashion sector, and the limitations of producing exhibitions that are at the same time critical and popular.</JATS1:p> <JATS1:p>Bringing together approaches from fashion curators, designers, and world-renowned academics, curation is positioned as a critical practice that opens up new ways of conceptualizing and theorizing fashion, challenging how we think and what we already know.</JATS1:p>
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.
How this classification was reachedexpand
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.018 | 0.002 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 teacher head, 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".